View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfig (google_api_ai_platform v0.13.0)

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

Attributes

enableFeatureAttributes (type: boolean(), default: nil) - 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.
explanationBaseline (type: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfigExplanationBaseline.t, default: nil) - Predictions generated by the BatchPredictionJob using baseline dataset.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfig{
    enableFeatureAttributes: boolean() | nil,
    explanationBaseline:
      GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigExplanationConfigExplanationBaseline.t()
      | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.