Google Cloud Ai Platform V1 Client - Class ExplanationConfig (0.19.0)

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

The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.

Generated from protobuf message google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig

Namespace

Google \ Cloud \ AIPlatform \ V1 \ ModelMonitoringObjectiveConfig

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ enable_feature_attributes`	`bool` If want to analyze the Vertex Explainable AI feature attribute scores or not. If set to true, Vertex AI will log the feature attributions from explain response and do the skew/drift detection for them.
`↳ explanation_baseline`	`Google\Cloud\AIPlatform\V1\ModelMonitoringObjectiveConfig\ExplanationConfig\ExplanationBaseline` Predictions generated by the BatchPredictionJob using baseline dataset.

getEnableFeatureAttributes

If want to analyze the Vertex Explainable AI feature attribute scores or not. If set to true, Vertex AI will log the feature attributions from explain response and do the skew/drift detection for them.

Returns
Type	Description
`bool`

setEnableFeatureAttributes

Parameter
Name	Description
`var`	`bool`

Returns
Type	Description
`$this`

getExplanationBaseline

Predictions generated by the BatchPredictionJob using baseline dataset.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ModelMonitoringObjectiveConfig\ExplanationConfig\ExplanationBaseline\|null`

hasExplanationBaseline

clearExplanationBaseline

setExplanationBaseline

Predictions generated by the BatchPredictionJob using baseline dataset.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\ModelMonitoringObjectiveConfig\ExplanationConfig\ExplanationBaseline`

Returns
Type	Description
`$this`