Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult

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

Prediction output format for Tabular Regression.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult

Returns a new instance of GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult.



27018
27019
27020
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 27018

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

Instance Attribute Details

#lower_bound ⇒ Float

The lower bound of the prediction interval. Corresponds to the JSON property lowerBound

Returns:

  • (Float) 


26996
26997
26998
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 26996

def lower_bound
  @lower_bound
end

#quantile_predictions ⇒ Array<Float>

Quantile predictions, in 1-1 correspondence with quantile_values. Corresponds to the JSON property quantilePredictions

Returns:

  • (Array<Float>) 


27001
27002
27003
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 27001

def quantile_predictions
  @quantile_predictions
end

#quantile_values ⇒ Array<Float>

Quantile values. Corresponds to the JSON property quantileValues

Returns:

  • (Array<Float>) 


27006
27007
27008
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 27006

def quantile_values
  @quantile_values
end

#upper_bound ⇒ Float

The upper bound of the prediction interval. Corresponds to the JSON property upperBound

Returns:

  • (Float) 


27011
27012
27013
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 27011

def upper_bound
  @upper_bound
end

#value ⇒ Float

The regression value. Corresponds to the JSON property value

Returns:

  • (Float) 


27016
27017
27018
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 27016

def value
  @value
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



27023
27024
27025
27026
27027
27028
27029
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 27023

def update!(**args)
  @lower_bound = args[:lower_bound] if args.key?(:lower_bound)
  @quantile_predictions = args[:quantile_predictions] if args.key?(:quantile_predictions)
  @quantile_values = args[:quantile_values] if args.key?(:quantile_values)
  @upper_bound = args[:upper_bound] if args.key?(:upper_bound)
  @value = args[:value] if args.key?(:value)
end