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.



16796
16797
16798
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16796

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:



16781
16782
16783
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16781

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:



16786
16787
16788
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16786

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:



16794
16795
16796
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16794

def skew_thresholds
  @skew_thresholds
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



16801
16802
16803
16804
16805
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16801

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