View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig (google_api_ai_platform v0.13.0)

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

Attributes

attributionScoreSkewThresholds (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 the training and prediction feature.
defaultSkewThreshold (type: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t, default: nil) - Skew 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.
skewThresholds (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 skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig{
    attributionScoreSkewThresholds:
      %{
        optional(String.t()) =>
          GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t()
      }
      | nil,
    defaultSkewThreshold:
      GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ThresholdConfig.t()
      | nil,
    skewThresholds:
      %{
        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.