Class: Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig
- Inherits:
-
Object
- Object
- Google::Cloud::AIPlatform::V1::ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig
- 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
-
#attribution_score_skew_thresholds ⇒ ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::ThresholdConfig}
Key is the feature name and value is the threshold.
-
#default_skew_threshold ⇒ ::Google::Cloud::AIPlatform::V1::ThresholdConfig
Skew anomaly detection threshold used by all features.
-
#skew_thresholds ⇒ ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::ThresholdConfig}
Key is the feature name and value is the threshold.
Instance Attribute Details
#attribution_score_skew_thresholds ⇒ ::Google::Protobuf::Map{::String => ::Google::Cloud::AIPlatform::V1::ThresholdConfig}
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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
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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}
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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 |