Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

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

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig

Returns a new instance of GoogleCloudAiplatformV1beta1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig.



15045
15046
15047
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 15045

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#attribution_score_skew_thresholds ⇒ Hash<String,Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ThresholdConfig>

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature. Corresponds to the JSON property attributionScoreSkewThresholds

Returns:



15030
15031
15032
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 15030

def attribution_score_skew_thresholds
  @attribution_score_skew_thresholds
end

#default_skew_threshold ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ThresholdConfig

The config for feature monitoring threshold. Corresponds to the JSON property defaultSkewThreshold

Returns:



15035
15036
15037
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 15035

def default_skew_threshold
  @default_skew_threshold
end

#skew_thresholds ⇒ Hash<String,Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ThresholdConfig>

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. Corresponds to the JSON property skewThresholds

Returns:



15043
15044
15045
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 15043

def skew_thresholds
  @skew_thresholds
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



15050
15051
15052
15053
15054
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 15050

def update!(**args)
  @attribution_score_skew_thresholds = args[:attribution_score_skew_thresholds] if args.key?(:attribution_score_skew_thresholds)
  @default_skew_threshold = args[:default_skew_threshold] if args.key?(:default_skew_threshold)
  @skew_thresholds = args[:skew_thresholds] if args.key?(:skew_thresholds)
end