Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult
- 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
-
#lower_bound ⇒ Float
The lower bound of the prediction interval.
-
#quantile_predictions ⇒ Array<Float>
Quantile predictions, in 1-1 correspondence with quantile_values.
-
#quantile_values ⇒ Array<Float>
Quantile values.
-
#upper_bound ⇒ Float
The upper bound of the prediction interval.
-
#value ⇒ Float
The regression value.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult
constructor
A new instance of GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult
Returns a new instance of GoogleCloudAiplatformV1beta1SchemaPredictPredictionTabularRegressionPredictionResult.
21910 21911 21912 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21910 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
21888 21889 21890 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21888 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
21893 21894 21895 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21893 def quantile_predictions @quantile_predictions end |
#quantile_values ⇒ Array<Float>
Quantile values.
Corresponds to the JSON property quantileValues
21898 21899 21900 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21898 def quantile_values @quantile_values end |
#upper_bound ⇒ Float
The upper bound of the prediction interval.
Corresponds to the JSON property upperBound
21903 21904 21905 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21903 def upper_bound @upper_bound end |
#value ⇒ Float
The regression value.
Corresponds to the JSON property value
21908 21909 21910 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21908 def value @value end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
21915 21916 21917 21918 21919 21920 21921 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 21915 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 |