public sealed class ModelEvaluation : IMessage<ModelEvaluation>, IEquatable<ModelEvaluation>, IDeepCloneable<ModelEvaluation>, IBufferMessage, IMessageReference documentation and code samples for the Cloud AI Platform v1beta1 API class ModelEvaluation.
A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.
Implements
IMessageModelEvaluation, IEquatableModelEvaluation, IDeepCloneableModelEvaluation, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
ModelEvaluation()
public ModelEvaluation()ModelEvaluation(ModelEvaluation)
public ModelEvaluation(ModelEvaluation other)| Parameter | |
|---|---|
| Name | Description |
other |
ModelEvaluation |
Properties
BiasConfigs
public ModelEvaluation.Types.BiasConfig BiasConfigs { get; set; }Specify the configuration for bias detection.
| Property Value | |
|---|---|
| Type | Description |
ModelEvaluationTypesBiasConfig |
|
CreateTime
public Timestamp CreateTime { get; set; }Output only. Timestamp when this ModelEvaluation was created.
| Property Value | |
|---|---|
| Type | Description |
Timestamp |
|
DisplayName
public string DisplayName { get; set; }The display name of the ModelEvaluation.
| Property Value | |
|---|---|
| Type | Description |
string |
|
ExplanationSpecs
public RepeatedField<ModelEvaluation.Types.ModelEvaluationExplanationSpec> ExplanationSpecs { get; }Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
| Property Value | |
|---|---|
| Type | Description |
RepeatedFieldModelEvaluationTypesModelEvaluationExplanationSpec |
|
Metadata
public Value Metadata { get; set; }The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
| Property Value | |
|---|---|
| Type | Description |
Value |
|
Metrics
public Value Metrics { get; set; }Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
| Property Value | |
|---|---|
| Type | Description |
Value |
|
MetricsSchemaUri
public string MetricsSchemaUri { get; set; }Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.
| Property Value | |
|---|---|
| Type | Description |
string |
|
ModelEvaluationName
public ModelEvaluationName ModelEvaluationName { get; set; }ModelEvaluationName-typed view over the Name resource name property.
| Property Value | |
|---|---|
| Type | Description |
ModelEvaluationName |
|
ModelExplanation
public ModelExplanation ModelExplanation { get; set; }Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
| Property Value | |
|---|---|
| Type | Description |
ModelExplanation |
|
Name
public string Name { get; set; }Output only. The resource name of the ModelEvaluation.
| Property Value | |
|---|---|
| Type | Description |
string |
|
SliceDimensions
public RepeatedField<string> SliceDimensions { get; }All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices. The dimensions can be used as the filter of the
[ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices]
request, in the form of slice.dimension = <dimension>.
| Property Value | |
|---|---|
| Type | Description |
RepeatedFieldstring |
|