Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry

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

Entry for the Quantiles loss type optimization objective.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry

Returns a new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsForecastingEvaluationMetricsQuantileMetricsEntry.



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19945

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

Instance Attribute Details

#observed_quantile ⇒ Float

This is a custom metric that calculates the percentage of true values that were less than the predicted value for that quantile. Only populated when optimization_objective is minimize-quantile-loss and each entry corresponds to an entry in quantiles The percent value can be used to compare with the quantile value, which is the target value. Corresponds to the JSON property observedQuantile

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19933

def observed_quantile
  @observed_quantile
end

#quantile ⇒ Float

The quantile for this entry. Corresponds to the JSON property quantile

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19938

def quantile
  @quantile
end

#scaled_pinball_loss ⇒ Float

The scaled pinball loss of this quantile. Corresponds to the JSON property scaledPinballLoss

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19943

def scaled_pinball_loss
  @scaled_pinball_loss
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19950

def update!(**args)
  @observed_quantile = args[:observed_quantile] if args.key?(:observed_quantile)
  @quantile = args[:quantile] if args.key?(:quantile)
  @scaled_pinball_loss = args[:scaled_pinball_loss] if args.key?(:scaled_pinball_loss)
end