Class GoogleCloudAiplatformV1ModelEvaluation

A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.

Inheritance
object
GoogleCloudAiplatformV1ModelEvaluation
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1.Data
Assembly: Google.Apis.Aiplatform.v1.dll
Syntax
public class GoogleCloudAiplatformV1ModelEvaluation : IDirectResponseSchema

Properties

AnnotationSchemaUri

Points to a YAML file stored on Google Cloud Storage describing EvaluatedDataItemView.predictions, EvaluatedDataItemView.ground_truths, EvaluatedAnnotation.predictions, and EvaluatedAnnotation.ground_truths. The schema is defined as an OpenAPI 3.0.2 Schema Object. This field is not populated if there are neither EvaluatedDataItemViews nor EvaluatedAnnotations under this ModelEvaluation.

Declaration
[JsonProperty("annotationSchemaUri")]
public virtual string AnnotationSchemaUri { get; set; }
Property Value
Type Description
string

CreateTime

object representation of CreateTimeRaw.

Declaration
[JsonIgnore]
[Obsolete("This property is obsolete and may behave unexpectedly; please use CreateTimeDateTimeOffset instead.")]
public virtual object CreateTime { get; set; }
Property Value
Type Description
object

CreateTimeDateTimeOffset

DateTimeOffset representation of CreateTimeRaw.

Declaration
[JsonIgnore]
public virtual DateTimeOffset? CreateTimeDateTimeOffset { get; set; }
Property Value
Type Description
DateTimeOffset?

CreateTimeRaw

Output only. Timestamp when this ModelEvaluation was created.

Declaration
[JsonProperty("createTime")]
public virtual string CreateTimeRaw { get; set; }
Property Value
Type Description
string

DataItemSchemaUri

Points to a YAML file stored on Google Cloud Storage describing EvaluatedDataItemView.data_item_payload and EvaluatedAnnotation.data_item_payload. The schema is defined as an OpenAPI 3.0.2 Schema Object. This field is not populated if there are neither EvaluatedDataItemViews nor EvaluatedAnnotations under this ModelEvaluation.

Declaration
[JsonProperty("dataItemSchemaUri")]
public virtual string DataItemSchemaUri { get; set; }
Property Value
Type Description
string

DisplayName

The display name of the ModelEvaluation.

Declaration
[JsonProperty("displayName")]
public virtual string DisplayName { get; set; }
Property Value
Type Description
string

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

ExplanationSpecs

Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.

Declaration
[JsonProperty("explanationSpecs")]
public virtual IList<GoogleCloudAiplatformV1ModelEvaluationModelEvaluationExplanationSpec> ExplanationSpecs { get; set; }
Property Value
Type Description
IList<GoogleCloudAiplatformV1ModelEvaluationModelEvaluationExplanationSpec>

Metadata

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".

Declaration
[JsonProperty("metadata")]
public virtual object Metadata { get; set; }
Property Value
Type Description
object

Metrics

Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri

Declaration
[JsonProperty("metrics")]
public virtual object Metrics { get; set; }
Property Value
Type Description
object

MetricsSchemaUri

Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 Schema Object.

Declaration
[JsonProperty("metricsSchemaUri")]
public virtual string MetricsSchemaUri { get; set; }
Property Value
Type Description
string

ModelExplanation

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.

Declaration
[JsonProperty("modelExplanation")]
public virtual GoogleCloudAiplatformV1ModelExplanation ModelExplanation { get; set; }
Property Value
Type Description
GoogleCloudAiplatformV1ModelExplanation

Name

Output only. The resource name of the ModelEvaluation.

Declaration
[JsonProperty("name")]
public virtual string Name { get; set; }
Property Value
Type Description
string

SliceDimensions

All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = .

Declaration
[JsonProperty("sliceDimensions")]
public virtual IList<string> SliceDimensions { get; set; }
Property Value
Type Description
IList<string>

Implements