public abstract class AutoMlClient
Reference documentation and code samples for the Google AutoML v1 API class AutoMlClient.
AutoMl client wrapper, for convenient use.
Derived Types
Namespace
Google.Cloud.AutoML.V1Assembly
Google.Cloud.AutoML.V1.dll
Remarks
AutoML Server API.
The resource names are assigned by the server. The server never reuses names that it has created after the resources with those names are deleted.
An ID of a resource is the last element of the item's resource name. For
projects/{project_id}/locations/{location_id}/datasets/{dataset_id}
, then
the id for the item is {dataset_id}
.
Currently the only supported location_id
is "us-central1".
On any input that is documented to expect a string parameter in snake_case or dash-case, either of those cases is accepted.
Properties
CreateDatasetOperationsClient
public virtual OperationsClient CreateDatasetOperationsClient { get; }
The long-running operations client for CreateDataset
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
CreateModelOperationsClient
public virtual OperationsClient CreateModelOperationsClient { get; }
The long-running operations client for CreateModel
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
DefaultEndpoint
public static string DefaultEndpoint { get; }
The default endpoint for the AutoMl service, which is a host of "automl.googleapis.com" and a port of 443.
Property Value | |
---|---|
Type | Description |
string |
DefaultScopes
public static IReadOnlyList<string> DefaultScopes { get; }
The default AutoMl scopes.
Property Value | |
---|---|
Type | Description |
IReadOnlyListstring |
The default AutoMl scopes are:
DeleteDatasetOperationsClient
public virtual OperationsClient DeleteDatasetOperationsClient { get; }
The long-running operations client for DeleteDataset
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
DeleteModelOperationsClient
public virtual OperationsClient DeleteModelOperationsClient { get; }
The long-running operations client for DeleteModel
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
DeployModelOperationsClient
public virtual OperationsClient DeployModelOperationsClient { get; }
The long-running operations client for DeployModel
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
ExportDataOperationsClient
public virtual OperationsClient ExportDataOperationsClient { get; }
The long-running operations client for ExportData
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
ExportModelOperationsClient
public virtual OperationsClient ExportModelOperationsClient { get; }
The long-running operations client for ExportModel
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
GrpcClient
public virtual AutoMl.AutoMlClient GrpcClient { get; }
The underlying gRPC AutoMl client
Property Value | |
---|---|
Type | Description |
AutoMlAutoMlClient |
ImportDataOperationsClient
public virtual OperationsClient ImportDataOperationsClient { get; }
The long-running operations client for ImportData
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
ServiceMetadata
public static ServiceMetadata ServiceMetadata { get; }
The service metadata associated with this client type.
Property Value | |
---|---|
Type | Description |
ServiceMetadata |
UndeployModelOperationsClient
public virtual OperationsClient UndeployModelOperationsClient { get; }
The long-running operations client for UndeployModel
.
Property Value | |
---|---|
Type | Description |
OperationsClient |
Methods
Create()
public static AutoMlClient Create()
Synchronously creates a AutoMlClient using the default credentials, endpoint and settings. To specify custom credentials or other settings, use AutoMlClientBuilder.
Returns | |
---|---|
Type | Description |
AutoMlClient |
The created AutoMlClient. |
CreateAsync(CancellationToken)
public static Task<AutoMlClient> CreateAsync(CancellationToken cancellationToken = default)
Asynchronously creates a AutoMlClient using the default credentials, endpoint and settings. To specify custom credentials or other settings, use AutoMlClientBuilder.
Parameter | |
---|---|
Name | Description |
cancellationToken |
CancellationToken The CancellationToken to use while creating the client. |
Returns | |
---|---|
Type | Description |
TaskAutoMlClient |
The task representing the created AutoMlClient. |
CreateDataset(LocationName, Dataset, CallSettings)
public virtual Operation<Dataset, OperationMetadata> CreateDataset(LocationName parent, Dataset dataset, CallSettings callSettings = null)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. The resource name of the project to create the dataset for. |
dataset |
Dataset Required. The dataset to create. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationDatasetOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = autoMlClient.CreateDataset(parent, dataset);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateDataset(CreateDatasetRequest, CallSettings)
public virtual Operation<Dataset, OperationMetadata> CreateDataset(CreateDatasetRequest request, CallSettings callSettings = null)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
request |
CreateDatasetRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationDatasetOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
CreateDatasetRequest request = new CreateDatasetRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Dataset = new Dataset(),
};
// Make the request
Operation<Dataset, OperationMetadata> response = autoMlClient.CreateDataset(request);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateDataset(string, Dataset, CallSettings)
public virtual Operation<Dataset, OperationMetadata> CreateDataset(string parent, Dataset dataset, CallSettings callSettings = null)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
parent |
string Required. The resource name of the project to create the dataset for. |
dataset |
Dataset Required. The dataset to create. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationDatasetOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = autoMlClient.CreateDataset(parent, dataset);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateDatasetAsync(LocationName, Dataset, CallSettings)
public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(LocationName parent, Dataset dataset, CallSettings callSettings = null)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. The resource name of the project to create the dataset for. |
dataset |
Dataset Required. The dataset to create. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationDatasetOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(parent, dataset);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateDatasetAsync(LocationName, Dataset, CancellationToken)
public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(LocationName parent, Dataset dataset, CancellationToken cancellationToken)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. The resource name of the project to create the dataset for. |
dataset |
Dataset Required. The dataset to create. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationDatasetOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(parent, dataset);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateDatasetAsync(CreateDatasetRequest, CallSettings)
public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(CreateDatasetRequest request, CallSettings callSettings = null)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
request |
CreateDatasetRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationDatasetOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
CreateDatasetRequest request = new CreateDatasetRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Dataset = new Dataset(),
};
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(request);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateDatasetAsync(CreateDatasetRequest, CancellationToken)
public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(CreateDatasetRequest request, CancellationToken cancellationToken)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
request |
CreateDatasetRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationDatasetOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
CreateDatasetRequest request = new CreateDatasetRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Dataset = new Dataset(),
};
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(request);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateDatasetAsync(string, Dataset, CallSettings)
public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(string parent, Dataset dataset, CallSettings callSettings = null)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
parent |
string Required. The resource name of the project to create the dataset for. |
dataset |
Dataset Required. The dataset to create. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationDatasetOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(parent, dataset);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateDatasetAsync(string, Dataset, CancellationToken)
public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(string parent, Dataset dataset, CancellationToken cancellationToken)
Creates a dataset.
Parameters | |
---|---|
Name | Description |
parent |
string Required. The resource name of the project to create the dataset for. |
dataset |
Dataset Required. The dataset to create. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationDatasetOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(parent, dataset);
// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Dataset retrievedResult = retrievedResponse.Result;
}
CreateModel(LocationName, Model, CallSettings)
public virtual Operation<Model, OperationMetadata> CreateModel(LocationName parent, Model model, CallSettings callSettings = null)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. Resource name of the parent project where the model is being created. |
model |
Model Required. The model to create. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationModelOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = autoMlClient.CreateModel(parent, model);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
CreateModel(CreateModelRequest, CallSettings)
public virtual Operation<Model, OperationMetadata> CreateModel(CreateModelRequest request, CallSettings callSettings = null)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
request |
CreateModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationModelOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
CreateModelRequest request = new CreateModelRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Model = new Model(),
};
// Make the request
Operation<Model, OperationMetadata> response = autoMlClient.CreateModel(request);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
CreateModel(string, Model, CallSettings)
public virtual Operation<Model, OperationMetadata> CreateModel(string parent, Model model, CallSettings callSettings = null)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
parent |
string Required. Resource name of the parent project where the model is being created. |
model |
Model Required. The model to create. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationModelOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = autoMlClient.CreateModel(parent, model);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
CreateModelAsync(LocationName, Model, CallSettings)
public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(LocationName parent, Model model, CallSettings callSettings = null)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. Resource name of the parent project where the model is being created. |
model |
Model Required. The model to create. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationModelOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(parent, model);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
CreateModelAsync(LocationName, Model, CancellationToken)
public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(LocationName parent, Model model, CancellationToken cancellationToken)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. Resource name of the parent project where the model is being created. |
model |
Model Required. The model to create. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationModelOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(parent, model);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
CreateModelAsync(CreateModelRequest, CallSettings)
public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(CreateModelRequest request, CallSettings callSettings = null)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
request |
CreateModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationModelOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
CreateModelRequest request = new CreateModelRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Model = new Model(),
};
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
CreateModelAsync(CreateModelRequest, CancellationToken)
public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(CreateModelRequest request, CancellationToken cancellationToken)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
request |
CreateModelRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationModelOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
CreateModelRequest request = new CreateModelRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Model = new Model(),
};
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
CreateModelAsync(string, Model, CallSettings)
public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(string parent, Model model, CallSettings callSettings = null)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
parent |
string Required. Resource name of the parent project where the model is being created. |
model |
Model Required. The model to create. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationModelOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(parent, model);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
CreateModelAsync(string, Model, CancellationToken)
public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(string parent, Model model, CancellationToken cancellationToken)
Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.
Parameters | |
---|---|
Name | Description |
parent |
string Required. Resource name of the parent project where the model is being created. |
model |
Model Required. The model to create. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationModelOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(parent, model);
// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Model retrievedResult = retrievedResponse.Result;
}
DeleteDataset(DatasetName, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeleteDataset(DatasetName name, CallSettings callSettings = null)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset to delete. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteDataset(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteDataset(DeleteDatasetRequest, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeleteDataset(DeleteDatasetRequest request, CallSettings callSettings = null)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
request |
DeleteDatasetRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DeleteDatasetRequest request = new DeleteDatasetRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteDataset(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteDataset(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeleteDataset(string name, CallSettings callSettings = null)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset to delete. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteDataset(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteDatasetAsync(DatasetName, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(DatasetName name, CallSettings callSettings = null)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset to delete. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteDatasetAsync(DatasetName, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(DatasetName name, CancellationToken cancellationToken)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset to delete. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteDatasetAsync(DeleteDatasetRequest, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(DeleteDatasetRequest request, CallSettings callSettings = null)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
request |
DeleteDatasetRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeleteDatasetRequest request = new DeleteDatasetRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteDatasetAsync(DeleteDatasetRequest, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(DeleteDatasetRequest request, CancellationToken cancellationToken)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
request |
DeleteDatasetRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeleteDatasetRequest request = new DeleteDatasetRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteDatasetAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(string name, CallSettings callSettings = null)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset to delete. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteDatasetAsync(string, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(string name, CancellationToken cancellationToken)
Deletes a dataset and all of its contents.
Returns empty response in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset to delete. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModel(DeleteModelRequest, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeleteModel(DeleteModelRequest request, CallSettings callSettings = null)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
request |
DeleteModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DeleteModelRequest request = new DeleteModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteModel(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModel(ModelName, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeleteModel(ModelName name, CallSettings callSettings = null)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model being deleted. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteModel(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModel(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeleteModel(string name, CallSettings callSettings = null)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model being deleted. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteModel(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModelAsync(DeleteModelRequest, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(DeleteModelRequest request, CallSettings callSettings = null)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
request |
DeleteModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeleteModelRequest request = new DeleteModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModelAsync(DeleteModelRequest, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(DeleteModelRequest request, CancellationToken cancellationToken)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
request |
DeleteModelRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeleteModelRequest request = new DeleteModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModelAsync(ModelName, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(ModelName name, CallSettings callSettings = null)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model being deleted. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModelAsync(ModelName, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(ModelName name, CancellationToken cancellationToken)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model being deleted. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModelAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(string name, CallSettings callSettings = null)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model being deleted. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeleteModelAsync(string, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(string name, CancellationToken cancellationToken)
Deletes a model.
Returns google.protobuf.Empty
in the
[response][google.longrunning.Operation.response] field when it completes,
and delete_details
in the
[metadata][google.longrunning.Operation.metadata] field.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model being deleted. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModel(DeployModelRequest, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeployModel(DeployModelRequest request, CallSettings callSettings = null)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
DeployModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DeployModelRequest request = new DeployModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
ImageObjectDetectionModelDeploymentMetadata = new ImageObjectDetectionModelDeploymentMetadata(),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeployModel(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModel(ModelName, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeployModel(ModelName name, CallSettings callSettings = null)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model to deploy. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeployModel(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModel(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> DeployModel(string name, CallSettings callSettings = null)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model to deploy. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeployModel(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModelAsync(DeployModelRequest, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(DeployModelRequest request, CallSettings callSettings = null)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
DeployModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeployModelRequest request = new DeployModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
ImageObjectDetectionModelDeploymentMetadata = new ImageObjectDetectionModelDeploymentMetadata(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModelAsync(DeployModelRequest, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(DeployModelRequest request, CancellationToken cancellationToken)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
DeployModelRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeployModelRequest request = new DeployModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
ImageObjectDetectionModelDeploymentMetadata = new ImageObjectDetectionModelDeploymentMetadata(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModelAsync(ModelName, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(ModelName name, CallSettings callSettings = null)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model to deploy. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModelAsync(ModelName, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(ModelName name, CancellationToken cancellationToken)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model to deploy. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModelAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(string name, CallSettings callSettings = null)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model to deploy. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
DeployModelAsync(string, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(string name, CancellationToken cancellationToken)
Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.
Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model to deploy. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportData(DatasetName, OutputConfig, CallSettings)
public virtual Operation<Empty, OperationMetadata> ExportData(DatasetName name, OutputConfig outputConfig, CallSettings callSettings = null)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset. |
outputConfig |
OutputConfig Required. The desired output location. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportData(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportData(ExportDataRequest, CallSettings)
public virtual Operation<Empty, OperationMetadata> ExportData(ExportDataRequest request, CallSettings callSettings = null)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ExportDataRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ExportDataRequest request = new ExportDataRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
OutputConfig = new OutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportData(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportData(string, OutputConfig, CallSettings)
public virtual Operation<Empty, OperationMetadata> ExportData(string name, OutputConfig outputConfig, CallSettings callSettings = null)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset. |
outputConfig |
OutputConfig Required. The desired output location. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportData(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportDataAsync(DatasetName, OutputConfig, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(DatasetName name, OutputConfig outputConfig, CallSettings callSettings = null)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset. |
outputConfig |
OutputConfig Required. The desired output location. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportDataAsync(DatasetName, OutputConfig, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(DatasetName name, OutputConfig outputConfig, CancellationToken cancellationToken)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset. |
outputConfig |
OutputConfig Required. The desired output location. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportDataAsync(ExportDataRequest, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(ExportDataRequest request, CallSettings callSettings = null)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ExportDataRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportDataRequest request = new ExportDataRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
OutputConfig = new OutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportDataAsync(ExportDataRequest, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(ExportDataRequest request, CancellationToken cancellationToken)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ExportDataRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportDataRequest request = new ExportDataRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
OutputConfig = new OutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportDataAsync(string, OutputConfig, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(string name, OutputConfig outputConfig, CallSettings callSettings = null)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset. |
outputConfig |
OutputConfig Required. The desired output location. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportDataAsync(string, OutputConfig, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(string name, OutputConfig outputConfig, CancellationToken cancellationToken)
Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset. |
outputConfig |
OutputConfig Required. The desired output location. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModel(ExportModelRequest, CallSettings)
public virtual Operation<Empty, OperationMetadata> ExportModel(ExportModelRequest request, CallSettings callSettings = null)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ExportModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ExportModelRequest request = new ExportModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
OutputConfig = new ModelExportOutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportModel(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModel(ModelName, ModelExportOutputConfig, CallSettings)
public virtual Operation<Empty, OperationMetadata> ExportModel(ModelName name, ModelExportOutputConfig outputConfig, CallSettings callSettings = null)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. The resource name of the model to export. |
outputConfig |
ModelExportOutputConfig Required. The desired output location and configuration. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportModel(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModel(string, ModelExportOutputConfig, CallSettings)
public virtual Operation<Empty, OperationMetadata> ExportModel(string name, ModelExportOutputConfig outputConfig, CallSettings callSettings = null)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the model to export. |
outputConfig |
ModelExportOutputConfig Required. The desired output location and configuration. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportModel(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModelAsync(ExportModelRequest, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(ExportModelRequest request, CallSettings callSettings = null)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ExportModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportModelRequest request = new ExportModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
OutputConfig = new ModelExportOutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModelAsync(ExportModelRequest, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(ExportModelRequest request, CancellationToken cancellationToken)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ExportModelRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportModelRequest request = new ExportModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
OutputConfig = new ModelExportOutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModelAsync(ModelName, ModelExportOutputConfig, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(ModelName name, ModelExportOutputConfig outputConfig, CallSettings callSettings = null)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. The resource name of the model to export. |
outputConfig |
ModelExportOutputConfig Required. The desired output location and configuration. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModelAsync(ModelName, ModelExportOutputConfig, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(ModelName name, ModelExportOutputConfig outputConfig, CancellationToken cancellationToken)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. The resource name of the model to export. |
outputConfig |
ModelExportOutputConfig Required. The desired output location and configuration. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModelAsync(string, ModelExportOutputConfig, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(string name, ModelExportOutputConfig outputConfig, CallSettings callSettings = null)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the model to export. |
outputConfig |
ModelExportOutputConfig Required. The desired output location and configuration. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ExportModelAsync(string, ModelExportOutputConfig, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(string name, ModelExportOutputConfig outputConfig, CancellationToken cancellationToken)
Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the model to export. |
outputConfig |
ModelExportOutputConfig Required. The desired output location and configuration. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(name, outputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
GetAnnotationSpec(AnnotationSpecName, CallSettings)
public virtual AnnotationSpec GetAnnotationSpec(AnnotationSpecName name, CallSettings callSettings = null)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
name |
AnnotationSpecName Required. The resource name of the annotation spec to retrieve. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
AnnotationSpec |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
AnnotationSpecName name = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
// Make the request
AnnotationSpec response = autoMlClient.GetAnnotationSpec(name);
GetAnnotationSpec(GetAnnotationSpecRequest, CallSettings)
public virtual AnnotationSpec GetAnnotationSpec(GetAnnotationSpecRequest request, CallSettings callSettings = null)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
request |
GetAnnotationSpecRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
AnnotationSpec |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetAnnotationSpecRequest request = new GetAnnotationSpecRequest
{
AnnotationSpecName = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"),
};
// Make the request
AnnotationSpec response = autoMlClient.GetAnnotationSpec(request);
GetAnnotationSpec(string, CallSettings)
public virtual AnnotationSpec GetAnnotationSpec(string name, CallSettings callSettings = null)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the annotation spec to retrieve. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
AnnotationSpec |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]/annotationSpecs/[ANNOTATION_SPEC]";
// Make the request
AnnotationSpec response = autoMlClient.GetAnnotationSpec(name);
GetAnnotationSpecAsync(AnnotationSpecName, CallSettings)
public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(AnnotationSpecName name, CallSettings callSettings = null)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
name |
AnnotationSpecName Required. The resource name of the annotation spec to retrieve. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskAnnotationSpec |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
AnnotationSpecName name = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(name);
GetAnnotationSpecAsync(AnnotationSpecName, CancellationToken)
public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(AnnotationSpecName name, CancellationToken cancellationToken)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
name |
AnnotationSpecName Required. The resource name of the annotation spec to retrieve. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskAnnotationSpec |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
AnnotationSpecName name = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(name);
GetAnnotationSpecAsync(GetAnnotationSpecRequest, CallSettings)
public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(GetAnnotationSpecRequest request, CallSettings callSettings = null)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
request |
GetAnnotationSpecRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskAnnotationSpec |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetAnnotationSpecRequest request = new GetAnnotationSpecRequest
{
AnnotationSpecName = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"),
};
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(request);
GetAnnotationSpecAsync(GetAnnotationSpecRequest, CancellationToken)
public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(GetAnnotationSpecRequest request, CancellationToken cancellationToken)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
request |
GetAnnotationSpecRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskAnnotationSpec |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetAnnotationSpecRequest request = new GetAnnotationSpecRequest
{
AnnotationSpecName = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"),
};
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(request);
GetAnnotationSpecAsync(string, CallSettings)
public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(string name, CallSettings callSettings = null)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the annotation spec to retrieve. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskAnnotationSpec |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]/annotationSpecs/[ANNOTATION_SPEC]";
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(name);
GetAnnotationSpecAsync(string, CancellationToken)
public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(string name, CancellationToken cancellationToken)
Gets an annotation spec.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the annotation spec to retrieve. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskAnnotationSpec |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]/annotationSpecs/[ANNOTATION_SPEC]";
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(name);
GetDataset(DatasetName, CallSettings)
public virtual Dataset GetDataset(DatasetName name, CallSettings callSettings = null)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset to retrieve. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Dataset |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Dataset response = autoMlClient.GetDataset(name);
GetDataset(GetDatasetRequest, CallSettings)
public virtual Dataset GetDataset(GetDatasetRequest request, CallSettings callSettings = null)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
request |
GetDatasetRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Dataset |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetDatasetRequest request = new GetDatasetRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Dataset response = autoMlClient.GetDataset(request);
GetDataset(string, CallSettings)
public virtual Dataset GetDataset(string name, CallSettings callSettings = null)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset to retrieve. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Dataset |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Dataset response = autoMlClient.GetDataset(name);
GetDatasetAsync(DatasetName, CallSettings)
public virtual Task<Dataset> GetDatasetAsync(DatasetName name, CallSettings callSettings = null)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset to retrieve. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(name);
GetDatasetAsync(DatasetName, CancellationToken)
public virtual Task<Dataset> GetDatasetAsync(DatasetName name, CancellationToken cancellationToken)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. The resource name of the dataset to retrieve. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(name);
GetDatasetAsync(GetDatasetRequest, CallSettings)
public virtual Task<Dataset> GetDatasetAsync(GetDatasetRequest request, CallSettings callSettings = null)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
request |
GetDatasetRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetDatasetRequest request = new GetDatasetRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(request);
GetDatasetAsync(GetDatasetRequest, CancellationToken)
public virtual Task<Dataset> GetDatasetAsync(GetDatasetRequest request, CancellationToken cancellationToken)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
request |
GetDatasetRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetDatasetRequest request = new GetDatasetRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(request);
GetDatasetAsync(string, CallSettings)
public virtual Task<Dataset> GetDatasetAsync(string name, CallSettings callSettings = null)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset to retrieve. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(name);
GetDatasetAsync(string, CancellationToken)
public virtual Task<Dataset> GetDatasetAsync(string name, CancellationToken cancellationToken)
Gets a dataset.
Parameters | |
---|---|
Name | Description |
name |
string Required. The resource name of the dataset to retrieve. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(name);
GetModel(GetModelRequest, CallSettings)
public virtual Model GetModel(GetModelRequest request, CallSettings callSettings = null)
Gets a model.
Parameters | |
---|---|
Name | Description |
request |
GetModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Model |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetModelRequest request = new GetModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Model response = autoMlClient.GetModel(request);
GetModel(ModelName, CallSettings)
public virtual Model GetModel(ModelName name, CallSettings callSettings = null)
Gets a model.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Model |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Model response = autoMlClient.GetModel(name);
GetModel(string, CallSettings)
public virtual Model GetModel(string name, CallSettings callSettings = null)
Gets a model.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Model |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Model response = autoMlClient.GetModel(name);
GetModelAsync(GetModelRequest, CallSettings)
public virtual Task<Model> GetModelAsync(GetModelRequest request, CallSettings callSettings = null)
Gets a model.
Parameters | |
---|---|
Name | Description |
request |
GetModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetModelRequest request = new GetModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Model response = await autoMlClient.GetModelAsync(request);
GetModelAsync(GetModelRequest, CancellationToken)
public virtual Task<Model> GetModelAsync(GetModelRequest request, CancellationToken cancellationToken)
Gets a model.
Parameters | |
---|---|
Name | Description |
request |
GetModelRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetModelRequest request = new GetModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Model response = await autoMlClient.GetModelAsync(request);
GetModelAsync(ModelName, CallSettings)
public virtual Task<Model> GetModelAsync(ModelName name, CallSettings callSettings = null)
Gets a model.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Model response = await autoMlClient.GetModelAsync(name);
GetModelAsync(ModelName, CancellationToken)
public virtual Task<Model> GetModelAsync(ModelName name, CancellationToken cancellationToken)
Gets a model.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Model response = await autoMlClient.GetModelAsync(name);
GetModelAsync(string, CallSettings)
public virtual Task<Model> GetModelAsync(string name, CallSettings callSettings = null)
Gets a model.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Model response = await autoMlClient.GetModelAsync(name);
GetModelAsync(string, CancellationToken)
public virtual Task<Model> GetModelAsync(string name, CancellationToken cancellationToken)
Gets a model.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Model response = await autoMlClient.GetModelAsync(name);
GetModelEvaluation(GetModelEvaluationRequest, CallSettings)
public virtual ModelEvaluation GetModelEvaluation(GetModelEvaluationRequest request, CallSettings callSettings = null)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
request |
GetModelEvaluationRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
ModelEvaluation |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetModelEvaluationRequest request = new GetModelEvaluationRequest
{
ModelEvaluationName = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"),
};
// Make the request
ModelEvaluation response = autoMlClient.GetModelEvaluation(request);
GetModelEvaluation(ModelEvaluationName, CallSettings)
public virtual ModelEvaluation GetModelEvaluation(ModelEvaluationName name, CallSettings callSettings = null)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
name |
ModelEvaluationName Required. Resource name for the model evaluation. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
ModelEvaluation |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelEvaluationName name = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
// Make the request
ModelEvaluation response = autoMlClient.GetModelEvaluation(name);
GetModelEvaluation(string, CallSettings)
public virtual ModelEvaluation GetModelEvaluation(string name, CallSettings callSettings = null)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name for the model evaluation. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
ModelEvaluation |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]/modelEvaluations/[MODEL_EVALUATION]";
// Make the request
ModelEvaluation response = autoMlClient.GetModelEvaluation(name);
GetModelEvaluationAsync(GetModelEvaluationRequest, CallSettings)
public virtual Task<ModelEvaluation> GetModelEvaluationAsync(GetModelEvaluationRequest request, CallSettings callSettings = null)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
request |
GetModelEvaluationRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskModelEvaluation |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetModelEvaluationRequest request = new GetModelEvaluationRequest
{
ModelEvaluationName = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"),
};
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(request);
GetModelEvaluationAsync(GetModelEvaluationRequest, CancellationToken)
public virtual Task<ModelEvaluation> GetModelEvaluationAsync(GetModelEvaluationRequest request, CancellationToken cancellationToken)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
request |
GetModelEvaluationRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskModelEvaluation |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetModelEvaluationRequest request = new GetModelEvaluationRequest
{
ModelEvaluationName = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"),
};
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(request);
GetModelEvaluationAsync(ModelEvaluationName, CallSettings)
public virtual Task<ModelEvaluation> GetModelEvaluationAsync(ModelEvaluationName name, CallSettings callSettings = null)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
name |
ModelEvaluationName Required. Resource name for the model evaluation. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskModelEvaluation |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelEvaluationName name = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(name);
GetModelEvaluationAsync(ModelEvaluationName, CancellationToken)
public virtual Task<ModelEvaluation> GetModelEvaluationAsync(ModelEvaluationName name, CancellationToken cancellationToken)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
name |
ModelEvaluationName Required. Resource name for the model evaluation. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskModelEvaluation |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelEvaluationName name = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(name);
GetModelEvaluationAsync(string, CallSettings)
public virtual Task<ModelEvaluation> GetModelEvaluationAsync(string name, CallSettings callSettings = null)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name for the model evaluation. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskModelEvaluation |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]/modelEvaluations/[MODEL_EVALUATION]";
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(name);
GetModelEvaluationAsync(string, CancellationToken)
public virtual Task<ModelEvaluation> GetModelEvaluationAsync(string name, CancellationToken cancellationToken)
Gets a model evaluation.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name for the model evaluation. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskModelEvaluation |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]/modelEvaluations/[MODEL_EVALUATION]";
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(name);
ImportData(DatasetName, InputConfig, CallSettings)
public virtual Operation<Empty, OperationMetadata> ImportData(DatasetName name, InputConfig inputConfig, CallSettings callSettings = null)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added. |
inputConfig |
InputConfig Required. The desired input location and its domain specific semantics, if any. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ImportData(name, inputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceImportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ImportData(ImportDataRequest, CallSettings)
public virtual Operation<Empty, OperationMetadata> ImportData(ImportDataRequest request, CallSettings callSettings = null)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ImportDataRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ImportDataRequest request = new ImportDataRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
InputConfig = new InputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ImportData(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceImportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ImportData(string, InputConfig, CallSettings)
public virtual Operation<Empty, OperationMetadata> ImportData(string name, InputConfig inputConfig, CallSettings callSettings = null)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added. |
inputConfig |
InputConfig Required. The desired input location and its domain specific semantics, if any. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ImportData(name, inputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceImportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ImportDataAsync(DatasetName, InputConfig, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(DatasetName name, InputConfig inputConfig, CallSettings callSettings = null)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added. |
inputConfig |
InputConfig Required. The desired input location and its domain specific semantics, if any. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(name, inputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ImportDataAsync(DatasetName, InputConfig, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(DatasetName name, InputConfig inputConfig, CancellationToken cancellationToken)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
DatasetName Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added. |
inputConfig |
InputConfig Required. The desired input location and its domain specific semantics, if any. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(name, inputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ImportDataAsync(ImportDataRequest, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(ImportDataRequest request, CallSettings callSettings = null)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ImportDataRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ImportDataRequest request = new ImportDataRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
InputConfig = new InputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ImportDataAsync(ImportDataRequest, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(ImportDataRequest request, CancellationToken cancellationToken)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
ImportDataRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ImportDataRequest request = new ImportDataRequest
{
DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
InputConfig = new InputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ImportDataAsync(string, InputConfig, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(string name, InputConfig inputConfig, CallSettings callSettings = null)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added. |
inputConfig |
InputConfig Required. The desired input location and its domain specific semantics, if any. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(name, inputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ImportDataAsync(string, InputConfig, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(string name, InputConfig inputConfig, CancellationToken cancellationToken)
Imports data into a dataset. For Tables this method can only be called on an empty Dataset.
For Tables:
- A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added. |
inputConfig |
InputConfig Required. The desired input location and its domain specific semantics, if any. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(name, inputConfig);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
ListDatasets(LocationName, string, int?, CallSettings)
public virtual PagedEnumerable<ListDatasetsResponse, Dataset> ListDatasets(LocationName parent, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists datasets in a project.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. The resource name of the project from which to list datasets. |
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListDatasetsResponseDataset |
A pageable sequence of Dataset resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
// Make the request
PagedEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasets(parent);
// Iterate over all response items, lazily performing RPCs as required
foreach (Dataset item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListDatasetsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Dataset item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListDatasets(ListDatasetsRequest, CallSettings)
public virtual PagedEnumerable<ListDatasetsResponse, Dataset> ListDatasets(ListDatasetsRequest request, CallSettings callSettings = null)
Lists datasets in a project.
Parameters | |
---|---|
Name | Description |
request |
ListDatasetsRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListDatasetsResponseDataset |
A pageable sequence of Dataset resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ListDatasetsRequest request = new ListDatasetsRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Filter = "",
};
// Make the request
PagedEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasets(request);
// Iterate over all response items, lazily performing RPCs as required
foreach (Dataset item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListDatasetsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Dataset item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListDatasets(string, string, int?, CallSettings)
public virtual PagedEnumerable<ListDatasetsResponse, Dataset> ListDatasets(string parent, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists datasets in a project.
Parameters | |
---|---|
Name | Description |
parent |
string Required. The resource name of the project from which to list datasets. |
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListDatasetsResponseDataset |
A pageable sequence of Dataset resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
// Make the request
PagedEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasets(parent);
// Iterate over all response items, lazily performing RPCs as required
foreach (Dataset item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListDatasetsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Dataset item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListDatasetsAsync(LocationName, string, int?, CallSettings)
public virtual PagedAsyncEnumerable<ListDatasetsResponse, Dataset> ListDatasetsAsync(LocationName parent, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists datasets in a project.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. The resource name of the project from which to list datasets. |
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListDatasetsResponseDataset |
A pageable asynchronous sequence of Dataset resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
// Make the request
PagedAsyncEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasetsAsync(parent);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Dataset item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListDatasetsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Dataset item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListDatasetsAsync(ListDatasetsRequest, CallSettings)
public virtual PagedAsyncEnumerable<ListDatasetsResponse, Dataset> ListDatasetsAsync(ListDatasetsRequest request, CallSettings callSettings = null)
Lists datasets in a project.
Parameters | |
---|---|
Name | Description |
request |
ListDatasetsRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListDatasetsResponseDataset |
A pageable asynchronous sequence of Dataset resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ListDatasetsRequest request = new ListDatasetsRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Filter = "",
};
// Make the request
PagedAsyncEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasetsAsync(request);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Dataset item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListDatasetsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Dataset item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListDatasetsAsync(string, string, int?, CallSettings)
public virtual PagedAsyncEnumerable<ListDatasetsResponse, Dataset> ListDatasetsAsync(string parent, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists datasets in a project.
Parameters | |
---|---|
Name | Description |
parent |
string Required. The resource name of the project from which to list datasets. |
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListDatasetsResponseDataset |
A pageable asynchronous sequence of Dataset resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
// Make the request
PagedAsyncEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasetsAsync(parent);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Dataset item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListDatasetsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Dataset item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelEvaluations(ListModelEvaluationsRequest, CallSettings)
public virtual PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluations(ListModelEvaluationsRequest request, CallSettings callSettings = null)
Lists model evaluations.
Parameters | |
---|---|
Name | Description |
request |
ListModelEvaluationsRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListModelEvaluationsResponseModelEvaluation |
A pageable sequence of ModelEvaluation resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ListModelEvaluationsRequest request = new ListModelEvaluationsRequest
{
ParentAsModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
Filter = "",
};
// Make the request
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluations(request);
// Iterate over all response items, lazily performing RPCs as required
foreach (ModelEvaluation item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelEvaluationsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (ModelEvaluation item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelEvaluations(ModelName, string, string, int?, CallSettings)
public virtual PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluations(ModelName parent, string filter, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists model evaluations.
Parameters | |
---|---|
Name | Description |
parent |
ModelName Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location. |
filter |
string Required. An expression for filtering the results of the request.
Some examples of using the filter are:
|
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListModelEvaluationsResponseModelEvaluation |
A pageable sequence of ModelEvaluation resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName parent = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
string filter = "";
// Make the request
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluations(parent, filter);
// Iterate over all response items, lazily performing RPCs as required
foreach (ModelEvaluation item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelEvaluationsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (ModelEvaluation item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelEvaluations(string, string, string, int?, CallSettings)
public virtual PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluations(string parent, string filter, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists model evaluations.
Parameters | |
---|---|
Name | Description |
parent |
string Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location. |
filter |
string Required. An expression for filtering the results of the request.
Some examples of using the filter are:
|
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListModelEvaluationsResponseModelEvaluation |
A pageable sequence of ModelEvaluation resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
string filter = "";
// Make the request
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluations(parent, filter);
// Iterate over all response items, lazily performing RPCs as required
foreach (ModelEvaluation item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelEvaluationsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (ModelEvaluation item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelEvaluationsAsync(ListModelEvaluationsRequest, CallSettings)
public virtual PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluationsAsync(ListModelEvaluationsRequest request, CallSettings callSettings = null)
Lists model evaluations.
Parameters | |
---|---|
Name | Description |
request |
ListModelEvaluationsRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListModelEvaluationsResponseModelEvaluation |
A pageable asynchronous sequence of ModelEvaluation resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ListModelEvaluationsRequest request = new ListModelEvaluationsRequest
{
ParentAsModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
Filter = "",
};
// Make the request
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluationsAsync(request);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((ModelEvaluation item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelEvaluationsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (ModelEvaluation item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelEvaluationsAsync(ModelName, string, string, int?, CallSettings)
public virtual PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluationsAsync(ModelName parent, string filter, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists model evaluations.
Parameters | |
---|---|
Name | Description |
parent |
ModelName Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location. |
filter |
string Required. An expression for filtering the results of the request.
Some examples of using the filter are:
|
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListModelEvaluationsResponseModelEvaluation |
A pageable asynchronous sequence of ModelEvaluation resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName parent = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
string filter = "";
// Make the request
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluationsAsync(parent, filter);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((ModelEvaluation item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelEvaluationsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (ModelEvaluation item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelEvaluationsAsync(string, string, string, int?, CallSettings)
public virtual PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluationsAsync(string parent, string filter, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists model evaluations.
Parameters | |
---|---|
Name | Description |
parent |
string Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location. |
filter |
string Required. An expression for filtering the results of the request.
Some examples of using the filter are:
|
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListModelEvaluationsResponseModelEvaluation |
A pageable asynchronous sequence of ModelEvaluation resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
string filter = "";
// Make the request
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluationsAsync(parent, filter);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((ModelEvaluation item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelEvaluationsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (ModelEvaluation item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModels(LocationName, string, int?, CallSettings)
public virtual PagedEnumerable<ListModelsResponse, Model> ListModels(LocationName parent, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists models.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. Resource name of the project, from which to list the models. |
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListModelsResponseModel |
A pageable sequence of Model resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
// Make the request
PagedEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModels(parent);
// Iterate over all response items, lazily performing RPCs as required
foreach (Model item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Model item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModels(ListModelsRequest, CallSettings)
public virtual PagedEnumerable<ListModelsResponse, Model> ListModels(ListModelsRequest request, CallSettings callSettings = null)
Lists models.
Parameters | |
---|---|
Name | Description |
request |
ListModelsRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListModelsResponseModel |
A pageable sequence of Model resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ListModelsRequest request = new ListModelsRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Filter = "",
};
// Make the request
PagedEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModels(request);
// Iterate over all response items, lazily performing RPCs as required
foreach (Model item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Model item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModels(string, string, int?, CallSettings)
public virtual PagedEnumerable<ListModelsResponse, Model> ListModels(string parent, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists models.
Parameters | |
---|---|
Name | Description |
parent |
string Required. Resource name of the project, from which to list the models. |
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedEnumerableListModelsResponseModel |
A pageable sequence of Model resources. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
// Make the request
PagedEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModels(parent);
// Iterate over all response items, lazily performing RPCs as required
foreach (Model item in response)
{
// Do something with each item
Console.WriteLine(item);
}
// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelsResponse page in response.AsRawResponses())
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Model item in page)
{
// Do something with each item
Console.WriteLine(item);
}
}
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelsAsync(LocationName, string, int?, CallSettings)
public virtual PagedAsyncEnumerable<ListModelsResponse, Model> ListModelsAsync(LocationName parent, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists models.
Parameters | |
---|---|
Name | Description |
parent |
LocationName Required. Resource name of the project, from which to list the models. |
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListModelsResponseModel |
A pageable asynchronous sequence of Model resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
// Make the request
PagedAsyncEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModelsAsync(parent);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Model item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Model item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelsAsync(ListModelsRequest, CallSettings)
public virtual PagedAsyncEnumerable<ListModelsResponse, Model> ListModelsAsync(ListModelsRequest request, CallSettings callSettings = null)
Lists models.
Parameters | |
---|---|
Name | Description |
request |
ListModelsRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListModelsResponseModel |
A pageable asynchronous sequence of Model resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ListModelsRequest request = new ListModelsRequest
{
ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
Filter = "",
};
// Make the request
PagedAsyncEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModelsAsync(request);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Model item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Model item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
ListModelsAsync(string, string, int?, CallSettings)
public virtual PagedAsyncEnumerable<ListModelsResponse, Model> ListModelsAsync(string parent, string pageToken = null, int? pageSize = null, CallSettings callSettings = null)
Lists models.
Parameters | |
---|---|
Name | Description |
parent |
string Required. Resource name of the project, from which to list the models. |
pageToken |
string The token returned from the previous request. A value of |
pageSize |
int The size of page to request. The response will not be larger than this, but may be smaller. A value of
|
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
PagedAsyncEnumerableListModelsResponseModel |
A pageable asynchronous sequence of Model resources. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
// Make the request
PagedAsyncEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModelsAsync(parent);
// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Model item) =>
{
// Do something with each item
Console.WriteLine(item);
});
// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelsResponse page) =>
{
// Do something with each page of items
Console.WriteLine("A page of results:");
foreach (Model item in page)
{
// Do something with each item
Console.WriteLine(item);
}
});
// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
// Do something with each item
Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;
PollOnceCreateDataset(string, CallSettings)
public virtual Operation<Dataset, OperationMetadata> PollOnceCreateDataset(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of CreateDataset
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationDatasetOperationMetadata |
The result of polling the operation. |
PollOnceCreateDatasetAsync(string, CallSettings)
public virtual Task<Operation<Dataset, OperationMetadata>> PollOnceCreateDatasetAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
CreateDataset
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationDatasetOperationMetadata |
A task representing the result of polling the operation. |
PollOnceCreateModel(string, CallSettings)
public virtual Operation<Model, OperationMetadata> PollOnceCreateModel(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of CreateModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationModelOperationMetadata |
The result of polling the operation. |
PollOnceCreateModelAsync(string, CallSettings)
public virtual Task<Operation<Model, OperationMetadata>> PollOnceCreateModelAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
CreateModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationModelOperationMetadata |
A task representing the result of polling the operation. |
PollOnceDeleteDataset(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> PollOnceDeleteDataset(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of DeleteDataset
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The result of polling the operation. |
PollOnceDeleteDatasetAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> PollOnceDeleteDatasetAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
DeleteDataset
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A task representing the result of polling the operation. |
PollOnceDeleteModel(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> PollOnceDeleteModel(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of DeleteModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The result of polling the operation. |
PollOnceDeleteModelAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> PollOnceDeleteModelAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
DeleteModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A task representing the result of polling the operation. |
PollOnceDeployModel(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> PollOnceDeployModel(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of DeployModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The result of polling the operation. |
PollOnceDeployModelAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> PollOnceDeployModelAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
DeployModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A task representing the result of polling the operation. |
PollOnceExportData(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> PollOnceExportData(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of ExportData
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The result of polling the operation. |
PollOnceExportDataAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> PollOnceExportDataAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
ExportData
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A task representing the result of polling the operation. |
PollOnceExportModel(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> PollOnceExportModel(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of ExportModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The result of polling the operation. |
PollOnceExportModelAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> PollOnceExportModelAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
ExportModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A task representing the result of polling the operation. |
PollOnceImportData(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> PollOnceImportData(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of ImportData
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The result of polling the operation. |
PollOnceImportDataAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> PollOnceImportDataAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
ImportData
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A task representing the result of polling the operation. |
PollOnceUndeployModel(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> PollOnceUndeployModel(string operationName, CallSettings callSettings = null)
Poll an operation once, using an operationName
from a previous invocation of UndeployModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The result of polling the operation. |
PollOnceUndeployModelAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> PollOnceUndeployModelAsync(string operationName, CallSettings callSettings = null)
Asynchronously poll an operation once, using an operationName
from a previous invocation of
UndeployModel
.
Parameters | |
---|---|
Name | Description |
operationName |
string The name of a previously invoked operation. Must not be |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A task representing the result of polling the operation. |
ShutdownDefaultChannelsAsync()
public static Task ShutdownDefaultChannelsAsync()
Shuts down any channels automatically created by Create() and CreateAsync(CancellationToken). Channels which weren't automatically created are not affected.
Returns | |
---|---|
Type | Description |
Task |
A task representing the asynchronous shutdown operation. |
After calling this method, further calls to Create() and CreateAsync(CancellationToken) will create new channels, which could in turn be shut down by another call to this method.
UndeployModel(ModelName, CallSettings)
public virtual Operation<Empty, OperationMetadata> UndeployModel(ModelName name, CallSettings callSettings = null)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model to undeploy. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.UndeployModel(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceUndeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UndeployModel(UndeployModelRequest, CallSettings)
public virtual Operation<Empty, OperationMetadata> UndeployModel(UndeployModelRequest request, CallSettings callSettings = null)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
UndeployModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
UndeployModelRequest request = new UndeployModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.UndeployModel(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceUndeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UndeployModel(string, CallSettings)
public virtual Operation<Empty, OperationMetadata> UndeployModel(string name, CallSettings callSettings = null)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model to undeploy. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
OperationEmptyOperationMetadata |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.UndeployModel(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceUndeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UndeployModelAsync(ModelName, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(ModelName name, CallSettings callSettings = null)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model to undeploy. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UndeployModelAsync(ModelName, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(ModelName name, CancellationToken cancellationToken)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
ModelName Required. Resource name of the model to undeploy. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UndeployModelAsync(UndeployModelRequest, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(UndeployModelRequest request, CallSettings callSettings = null)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
UndeployModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UndeployModelRequest request = new UndeployModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UndeployModelAsync(UndeployModelRequest, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(UndeployModelRequest request, CancellationToken cancellationToken)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
request |
UndeployModelRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UndeployModelRequest request = new UndeployModelRequest
{
ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(request);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UndeployModelAsync(string, CallSettings)
public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(string name, CallSettings callSettings = null)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model to undeploy. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UndeployModelAsync(string, CancellationToken)
public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(string name, CancellationToken cancellationToken)
Undeploys a model. If the model is not deployed this method has no effect.
Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.
Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.
Parameters | |
---|---|
Name | Description |
name |
string Required. Resource name of the model to undeploy. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskOperationEmptyOperationMetadata |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(name);
// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;
// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
// If it has completed, then access the result
Empty retrievedResult = retrievedResponse.Result;
}
UpdateDataset(Dataset, FieldMask, CallSettings)
public virtual Dataset UpdateDataset(Dataset dataset, FieldMask updateMask, CallSettings callSettings = null)
Updates a dataset.
Parameters | |
---|---|
Name | Description |
dataset |
Dataset Required. The dataset which replaces the resource on the server. |
updateMask |
FieldMask Required. The update mask applies to the resource. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Dataset |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
Dataset dataset = new Dataset();
FieldMask updateMask = new FieldMask();
// Make the request
Dataset response = autoMlClient.UpdateDataset(dataset, updateMask);
UpdateDataset(UpdateDatasetRequest, CallSettings)
public virtual Dataset UpdateDataset(UpdateDatasetRequest request, CallSettings callSettings = null)
Updates a dataset.
Parameters | |
---|---|
Name | Description |
request |
UpdateDatasetRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Dataset |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
UpdateDatasetRequest request = new UpdateDatasetRequest
{
Dataset = new Dataset(),
UpdateMask = new FieldMask(),
};
// Make the request
Dataset response = autoMlClient.UpdateDataset(request);
UpdateDatasetAsync(Dataset, FieldMask, CallSettings)
public virtual Task<Dataset> UpdateDatasetAsync(Dataset dataset, FieldMask updateMask, CallSettings callSettings = null)
Updates a dataset.
Parameters | |
---|---|
Name | Description |
dataset |
Dataset Required. The dataset which replaces the resource on the server. |
updateMask |
FieldMask Required. The update mask applies to the resource. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
Dataset dataset = new Dataset();
FieldMask updateMask = new FieldMask();
// Make the request
Dataset response = await autoMlClient.UpdateDatasetAsync(dataset, updateMask);
UpdateDatasetAsync(Dataset, FieldMask, CancellationToken)
public virtual Task<Dataset> UpdateDatasetAsync(Dataset dataset, FieldMask updateMask, CancellationToken cancellationToken)
Updates a dataset.
Parameters | |
---|---|
Name | Description |
dataset |
Dataset Required. The dataset which replaces the resource on the server. |
updateMask |
FieldMask Required. The update mask applies to the resource. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
Dataset dataset = new Dataset();
FieldMask updateMask = new FieldMask();
// Make the request
Dataset response = await autoMlClient.UpdateDatasetAsync(dataset, updateMask);
UpdateDatasetAsync(UpdateDatasetRequest, CallSettings)
public virtual Task<Dataset> UpdateDatasetAsync(UpdateDatasetRequest request, CallSettings callSettings = null)
Updates a dataset.
Parameters | |
---|---|
Name | Description |
request |
UpdateDatasetRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UpdateDatasetRequest request = new UpdateDatasetRequest
{
Dataset = new Dataset(),
UpdateMask = new FieldMask(),
};
// Make the request
Dataset response = await autoMlClient.UpdateDatasetAsync(request);
UpdateDatasetAsync(UpdateDatasetRequest, CancellationToken)
public virtual Task<Dataset> UpdateDatasetAsync(UpdateDatasetRequest request, CancellationToken cancellationToken)
Updates a dataset.
Parameters | |
---|---|
Name | Description |
request |
UpdateDatasetRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskDataset |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UpdateDatasetRequest request = new UpdateDatasetRequest
{
Dataset = new Dataset(),
UpdateMask = new FieldMask(),
};
// Make the request
Dataset response = await autoMlClient.UpdateDatasetAsync(request);
UpdateModel(Model, FieldMask, CallSettings)
public virtual Model UpdateModel(Model model, FieldMask updateMask, CallSettings callSettings = null)
Updates a model.
Parameters | |
---|---|
Name | Description |
model |
Model Required. The model which replaces the resource on the server. |
updateMask |
FieldMask Required. The update mask applies to the resource. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Model |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
Model model = new Model();
FieldMask updateMask = new FieldMask();
// Make the request
Model response = autoMlClient.UpdateModel(model, updateMask);
UpdateModel(UpdateModelRequest, CallSettings)
public virtual Model UpdateModel(UpdateModelRequest request, CallSettings callSettings = null)
Updates a model.
Parameters | |
---|---|
Name | Description |
request |
UpdateModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
Model |
The RPC response. |
// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
UpdateModelRequest request = new UpdateModelRequest
{
Model = new Model(),
UpdateMask = new FieldMask(),
};
// Make the request
Model response = autoMlClient.UpdateModel(request);
UpdateModelAsync(Model, FieldMask, CallSettings)
public virtual Task<Model> UpdateModelAsync(Model model, FieldMask updateMask, CallSettings callSettings = null)
Updates a model.
Parameters | |
---|---|
Name | Description |
model |
Model Required. The model which replaces the resource on the server. |
updateMask |
FieldMask Required. The update mask applies to the resource. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
Model model = new Model();
FieldMask updateMask = new FieldMask();
// Make the request
Model response = await autoMlClient.UpdateModelAsync(model, updateMask);
UpdateModelAsync(Model, FieldMask, CancellationToken)
public virtual Task<Model> UpdateModelAsync(Model model, FieldMask updateMask, CancellationToken cancellationToken)
Updates a model.
Parameters | |
---|---|
Name | Description |
model |
Model Required. The model which replaces the resource on the server. |
updateMask |
FieldMask Required. The update mask applies to the resource. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
Model model = new Model();
FieldMask updateMask = new FieldMask();
// Make the request
Model response = await autoMlClient.UpdateModelAsync(model, updateMask);
UpdateModelAsync(UpdateModelRequest, CallSettings)
public virtual Task<Model> UpdateModelAsync(UpdateModelRequest request, CallSettings callSettings = null)
Updates a model.
Parameters | |
---|---|
Name | Description |
request |
UpdateModelRequest The request object containing all of the parameters for the API call. |
callSettings |
CallSettings If not null, applies overrides to this RPC call. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UpdateModelRequest request = new UpdateModelRequest
{
Model = new Model(),
UpdateMask = new FieldMask(),
};
// Make the request
Model response = await autoMlClient.UpdateModelAsync(request);
UpdateModelAsync(UpdateModelRequest, CancellationToken)
public virtual Task<Model> UpdateModelAsync(UpdateModelRequest request, CancellationToken cancellationToken)
Updates a model.
Parameters | |
---|---|
Name | Description |
request |
UpdateModelRequest The request object containing all of the parameters for the API call. |
cancellationToken |
CancellationToken A CancellationToken to use for this RPC. |
Returns | |
---|---|
Type | Description |
TaskModel |
A Task containing the RPC response. |
// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UpdateModelRequest request = new UpdateModelRequest
{
Model = new Model(),
UpdateMask = new FieldMask(),
};
// Make the request
Model response = await autoMlClient.UpdateModelAsync(request);