Google Cloud Ai Platform V1 Client - Class ModelEvaluationSlice (1.7.0)

Version 1.7.0

• 1.11.0 (latest)
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.39.0
• 0.38.0
• 0.37.1
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.2
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.13.0
• 0.12.0
• 0.11.1
• 0.10.0

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

A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.

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

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 ModelEvaluationSlice.
↳ slice	Google\Cloud\AIPlatform\V1\ModelEvaluationSlice\Slice Output only. The slice of the test data that is used to evaluate the Model.
↳ metrics_schema_uri	string Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 Schema Object.
↳ metrics	Google\Protobuf\Value Output only. Sliced 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 ModelEvaluationSlice was created.
↳ model_explanation	Google\Cloud\AIPlatform\V1\ModelExplanation Output only. 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 tabular Models.

getName

Output only. The resource name of the ModelEvaluationSlice.

Returns
Type	Description
string

setName

Output only. The resource name of the ModelEvaluationSlice.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getSlice

Output only. The slice of the test data that is used to evaluate the Model.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\ModelEvaluationSlice\Slice|null

hasSlice

clearSlice

setSlice

Output only. The slice of the test data that is used to evaluate the Model.

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\ModelEvaluationSlice\Slice

Returns
Type	Description
$this

getMetricsSchemaUri

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

Returns
Type	Description
string

setMetricsSchemaUri

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

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getMetrics

Output only. Sliced 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

Output only. Sliced 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 ModelEvaluationSlice was created.

Returns
Type	Description
Google\Protobuf\Timestamp|null

hasCreateTime

clearCreateTime

setCreateTime

Output only. Timestamp when this ModelEvaluationSlice was created.

Parameter
Name	Description
var	Google\Protobuf\Timestamp

Returns
Type	Description
$this

getModelExplanation

Output only. 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 tabular Models.

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

hasModelExplanation

clearModelExplanation

setModelExplanation

Output only. 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 tabular Models.

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

Returns
Type	Description
$this