Cloud AI Platform v1beta1 API - Class ModelEvaluation (1.0.0-beta03)

public sealed class ModelEvaluation : IMessage<ModelEvaluation>, IEquatable<ModelEvaluation>, IDeepCloneable<ModelEvaluation>, IBufferMessage, IMessage

Reference 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.

Inheritance

object > ModelEvaluation

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

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