Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/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) ⇒ GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig

Returns a new instance of GoogleCloudAiplatformV1ModelMonitoringObjectiveConfigTrainingPredictionSkewDetectionConfig.



16213
16214
16215
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16213

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

Instance Attribute Details

#attribution_score_skew_thresholds ⇒ Hash<String,Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ThresholdConfig>

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:



16198
16199
16200
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16198

def attribution_score_skew_thresholds
  @attribution_score_skew_thresholds
end

#default_skew_threshold ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ThresholdConfig

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

Returns:



16203
16204
16205
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16203

def default_skew_threshold
  @default_skew_threshold
end

#skew_thresholds ⇒ Hash<String,Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ThresholdConfig>

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:



16211
16212
16213
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16211

def skew_thresholds
  @skew_thresholds
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



16218
16219
16220
16221
16222
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16218

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