View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigPredictionDriftDetectionConfig (google_api_ai_platform v0.13.0)

The config for Prediction data drift detection.

Attributes

attributionScoreDriftThresholds (type: %{optional(String.t) => GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t}, default: nil) - Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.
defaultDriftThreshold (type: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t, default: nil) - Drift anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
driftThresholds (type: %{optional(String.t) => GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t}, default: nil) - Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigPredictionDriftDetectionConfig{
    attributionScoreDriftThresholds:
      %{
        optional(String.t()) =>
          GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t()
      }
      | nil,
    defaultDriftThreshold:
      GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t()
      | nil,
    driftThresholds:
      %{
        optional(String.t()) =>
          GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t()
      }
      | nil
  }

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.