Class: Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb

Overview

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

Defined Under Namespace

Classes: AttributionScoreSkewThresholdsEntry, SkewThresholdsEntry

Instance Attribute Summary collapse

Instance Attribute Details

#attribution_score_skew_thresholds ⇒ ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::ThresholdConfig}

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

Returns:

  • (::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::ThresholdConfig}) —

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



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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 100

class TrainingPredictionSkewDetectionConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig]
  class SkewThresholdsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig]
  class AttributionScoreSkewThresholdsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#default_skew_threshold ⇒ ::Google::Cloud::AIPlatform::V1::ThresholdConfig

Returns 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.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 100

class TrainingPredictionSkewDetectionConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig]
  class SkewThresholdsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig]
  class AttributionScoreSkewThresholdsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#skew_thresholds ⇒ ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::ThresholdConfig}

Returns 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.

Returns:

  • (::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::ThresholdConfig}) —

    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.



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# File 'proto_docs/google/cloud/aiplatform/v1/model_monitoring.rb', line 100

class TrainingPredictionSkewDetectionConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig]
  class SkewThresholdsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig]
  class AttributionScoreSkewThresholdsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end