Google Cloud Ai Platform V1 Client - Class ModelEvaluation (1.2.0)

Version 1.2.0

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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ModelEvaluation.

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

Generated from protobuf message google.cloud.aiplatform.v1.ModelEvaluation

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ name	string Output only. The resource name of the ModelEvaluation.
↳ display_name	string The display name of the ModelEvaluation.
↳ metrics_schema_uri	string 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.
↳ metrics	Google\Protobuf\Value Evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
↳ create_time	Google\Protobuf\Timestamp Output only. Timestamp when this ModelEvaluation was created.
↳ slice_dimensions	array All possible dimensions of ModelEvaluationSlices. The dimensions can be used as the filter of the ModelService.ListModelEvaluationSlices request, in the form of slice.dimension = <dimension>.
↳ data_item_schema_uri	string 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.
↳ annotation_schema_uri	string 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.
↳ model_explanation	Google\Cloud\AIPlatform\V1\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.
↳ explanation_specs	array<Google\Cloud\AIPlatform\V1\ModelEvaluation\ModelEvaluationExplanationSpec> Describes the values of ExplanationSpec that are used for explaining the predicted values on the evaluated data.
↳ metadata	Google\Protobuf\Value 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".

getName

Output only. The resource name of the ModelEvaluation.

Returns
Type	Description
string

setName

Output only. The resource name of the ModelEvaluation.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getDisplayName

The display name of the ModelEvaluation.

Returns
Type	Description
string

setDisplayName

The display name of the ModelEvaluation.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getMetricsSchemaUri

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.

Returns
Type	Description
string

setMetricsSchemaUri

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.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getMetrics

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

Returns
Type	Description
Google\Protobuf\Value|null

hasMetrics

clearMetrics

setMetrics

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

Parameter
Name	Description
var	Google\Protobuf\Value

Returns
Type	Description
$this

getCreateTime

Output only. Timestamp when this ModelEvaluation was created.

Returns
Type	Description
Google\Protobuf\Timestamp|null

hasCreateTime

clearCreateTime

setCreateTime

Output only. Timestamp when this ModelEvaluation was created.

Parameter
Name	Description
var	Google\Protobuf\Timestamp

Returns
Type	Description
$this

getSliceDimensions

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

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setSliceDimensions

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

Parameter
Name	Description
var	string[]

Returns
Type	Description
$this

getDataItemSchemaUri

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.

Returns
Type	Description
string

setDataItemSchemaUri

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.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getAnnotationSchemaUri

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.

Returns
Type	Description
string

setAnnotationSchemaUri

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.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getModelExplanation

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.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\ModelExplanation|null

hasModelExplanation

clearModelExplanation

setModelExplanation

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.

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\ModelExplanation

Returns
Type	Description
$this

getExplanationSpecs

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

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setExplanationSpecs

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

Parameter
Name	Description
var	array<Google\Cloud\AIPlatform\V1\ModelEvaluation\ModelEvaluationExplanationSpec>

Returns
Type	Description
$this

getMetadata

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".

Returns
Type	Description
Google\Protobuf\Value|null

hasMetadata

clearMetadata

setMetadata

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".

Parameter
Name	Description
var	Google\Protobuf\Value

Returns
Type	Description
$this