Google Cloud Ai Platform V1 Client - Class TrainingPredictionSkewDetectionConfig (1.35.0)

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

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

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

Constructor.

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.

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.

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.

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.

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.