Cloud AutoML V1 Client - Class AutoMlClient (1.5.4)

Reference documentation and code samples for the Cloud AutoML V1 Client class AutoMlClient.

Service Description: 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.

This class provides the ability to make remote calls to the backing service through method calls that map to API methods.

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parseName method to extract the individual identifiers contained within formatted names that are returned by the API.

This class is currently experimental and may be subject to changes. See Google\Cloud\AutoMl\V1\AutoMlClient for the stable implementation

Namespace

Google \ Cloud \ AutoMl \ V1 \ Client

Methods

__construct

Constructor.

Parameters
Name	Description
`options`	`array` Optional. Options for configuring the service API wrapper.
`↳ apiEndpoint`	`string` The address of the API remote host. May optionally include the port, formatted as "
`↳ credentials`	`string\|array\|FetchAuthTokenInterface\|CredentialsWrapper` The credentials to be used by the client to authorize API calls. This option accepts either a path to a credentials file, or a decoded credentials file as a PHP array. Advanced usage: In addition, this option can also accept a pre-constructed Google\Auth\FetchAuthTokenInterface object or Google\ApiCore\CredentialsWrapper object. Note that when one of these objects are provided, any settings in $credentialsConfig will be ignored.
`↳ credentialsConfig`	`array` Options used to configure credentials, including auth token caching, for the client. For a full list of supporting configuration options, see Google\ApiCore\CredentialsWrapper::build() .
`↳ disableRetries`	`bool` Determines whether or not retries defined by the client configuration should be disabled. Defaults to `false`.
`↳ clientConfig`	`string\|array` Client method configuration, including retry settings. This option can be either a path to a JSON file, or a PHP array containing the decoded JSON data. By default this settings points to the default client config file, which is provided in the resources folder.
`↳ transport`	`string\|TransportInterface` The transport used for executing network requests. May be either the string `rest` or `grpc`. Defaults to `grpc` if gRPC support is detected on the system. Advanced usage: Additionally, it is possible to pass in an already instantiated Google\ApiCore\Transport\TransportInterface object. Note that when this object is provided, any settings in $transportConfig, and any $apiEndpoint setting, will be ignored.
`↳ transportConfig`	`array` Configuration options that will be used to construct the transport. Options for each supported transport type should be passed in a key for that transport. For example: $transportConfig = [ 'grpc' => [...], 'rest' => [...], ]; See the Google\ApiCore\Transport\GrpcTransport::build() and Google\ApiCore\Transport\RestTransport::build() methods for the supported options.
`↳ clientCertSource`	`callable` A callable which returns the client cert as a string. This can be used to provide a certificate and private key to the transport layer for mTLS.

createDataset

Creates a dataset.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::createDatasetAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\CreateDatasetRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

createModel

Creates a model.

Returns a Model in the 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.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::createModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\CreateModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

deleteDataset

Deletes a dataset and all of its contents.

Returns empty response in the response field when it completes, and delete_details in the metadata field.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::deleteDatasetAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\DeleteDatasetRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

deleteModel

Deletes a model.

Returns google.protobuf.Empty in the response field when it completes, and delete_details in the metadata field.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::deleteModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\DeleteModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

deployModel

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) 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 field when it completes.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::deployModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\DeployModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

exportData

Exports dataset's data to the provided output location.

Returns an empty response in the response field when it completes.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::exportDataAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ExportDataRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

exportModel

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.

Returns an empty response in the response field when it completes.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::exportModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ExportModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

getAnnotationSpec

Gets an annotation spec.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::getAnnotationSpecAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\GetAnnotationSpecRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AutoMl\V1\AnnotationSpec`

getDataset

Gets a dataset.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::getDatasetAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\GetDatasetRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AutoMl\V1\Dataset`

getModel

Gets a model.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::getModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\GetModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AutoMl\V1\Model`

getModelEvaluation

Gets a model evaluation.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::getModelEvaluationAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\GetModelEvaluationRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AutoMl\V1\ModelEvaluation`

importData

Imports data into a dataset.

For Tables this method can only be called on an empty Dataset.

For Tables:

A schema_inference_version parameter must be explicitly set. Returns an empty response in the response field when it completes.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::importDataAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ImportDataRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

listDatasets

Lists datasets in a project.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::listDatasetsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ListDatasetsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

listModelEvaluations

Lists model evaluations.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::listModelEvaluationsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ListModelEvaluationsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

listModels

Lists models.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::listModelsAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ListModelsRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\PagedListResponse`

undeployModel

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 field when it completes.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::undeployModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\UndeployModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\ApiCore\OperationResponse`

updateDataset

Updates a dataset.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::updateDatasetAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\UpdateDatasetRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AutoMl\V1\Dataset`

updateModel

Updates a model.

The async variant is Google\Cloud\AutoMl\V1\Client\AutoMlClient::updateModelAsync() .

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\UpdateModelRequest` A request to house fields associated with the call.
`callOptions`	`array` Optional.
`↳ retrySettings`	`RetrySettings\|array` Retry settings to use for this call. Can be a Google\ApiCore\RetrySettings object, or an associative array of retry settings parameters. See the documentation on Google\ApiCore\RetrySettings for example usage.

Returns
Type	Description
`Google\Cloud\AutoMl\V1\Model`

createDatasetAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\CreateDatasetRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

createModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\CreateModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deleteDatasetAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\DeleteDatasetRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deleteModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\DeleteModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

deployModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\DeployModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

exportDataAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ExportDataRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

exportModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ExportModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getAnnotationSpecAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\GetAnnotationSpecRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getDatasetAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\GetDatasetRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\GetModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getModelEvaluationAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\GetModelEvaluationRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

importDataAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ImportDataRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listDatasetsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ListDatasetsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listModelEvaluationsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ListModelEvaluationsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

listModelsAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\ListModelsRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

undeployModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\UndeployModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

updateDatasetAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\UpdateDatasetRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

updateModelAsync

Parameters
Name	Description
`request`	`Google\Cloud\AutoMl\V1\UpdateModelRequest`
`optionalArgs = []`	`array`

Returns
Type	Description
`GuzzleHttp\Promise\PromiseInterface`

getOperationsClient

Return an OperationsClient object with the same endpoint as $this.

Returns
Type	Description
`Google\ApiCore\LongRunning\OperationsClient`

resumeOperation

Resume an existing long running operation that was previously started by a long running API method. If $methodName is not provided, or does not match a long running API method, then the operation can still be resumed, but the OperationResponse object will not deserialize the final response.

Parameters
Name	Description
`operationName`	`string` The name of the long running operation
`methodName`	`string` The name of the method used to start the operation

Returns
Type	Description
`Google\ApiCore\OperationResponse`

static::annotationSpecName

Formats a string containing the fully-qualified path to represent a annotation_spec resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`dataset`	`string`
`annotationSpec`	`string`

Returns
Type	Description
`string`	The formatted annotation_spec resource.

static::datasetName

Formats a string containing the fully-qualified path to represent a dataset resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`dataset`	`string`

Returns
Type	Description
`string`	The formatted dataset resource.

static::locationName

Formats a string containing the fully-qualified path to represent a location resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`

Returns
Type	Description
`string`	The formatted location resource.

static::modelName

Formats a string containing the fully-qualified path to represent a model resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`model`	`string`

Returns
Type	Description
`string`	The formatted model resource.

static::modelEvaluationName

Formats a string containing the fully-qualified path to represent a model_evaluation resource.

Parameters
Name	Description
`project`	`string`
`location`	`string`
`model`	`string`
`modelEvaluation`	`string`

Returns
Type	Description
`string`	The formatted model_evaluation resource.

static::parseName

Parses a formatted name string and returns an associative array of the components in the name.

The following name formats are supported: Template: Pattern

annotationSpec: projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}
dataset: projects/{project}/locations/{location}/datasets/{dataset}
location: projects/{project}/locations/{location}
model: projects/{project}/locations/{location}/models/{model}
modelEvaluation: projects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}

The optional $template argument can be supplied to specify a particular pattern, and must match one of the templates listed above. If no $template argument is provided, or if the $template argument does not match one of the templates listed, then parseName will check each of the supported templates, and return the first match.

Parameters
Name	Description
`formattedName`	`string` The formatted name string
`template`	`string` Optional name of template to match

Returns
Type	Description
`array`	An associative array from name component IDs to component values.