Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StratifiedSplit

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

Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the key field) is mirrored within each split. The fraction values determine the relative sizes of the splits. For example, if the specified column has three values, with 50% of the rows having value "A", 25% value "B", and 25% value "C" , and the split fractions are specified as 80/10/10, then the training set will constitute 80% of the training data, with about 50% of the training set rows having the value "A" for the specified column, about 25% having the value "B", and about 25% having the value "C". Only the top 500 occurring values are used; any values not in the top 500 values are randomly assigned to a split. If less than three rows contain a specific value, those rows are randomly assigned. Supported only for tabular Datasets.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1StratifiedSplit

Returns a new instance of GoogleCloudAiplatformV1beta1StratifiedSplit.



31874
31875
31876
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 31874

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

Instance Attribute Details

#key ⇒ String

Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column. Corresponds to the JSON property key

Returns:

  • (String) 


31857
31858
31859
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 31857

def key
  @key
end

#test_fraction ⇒ Float

The fraction of the input data that is to be used to evaluate the Model. Corresponds to the JSON property testFraction

Returns:

  • (Float) 


31862
31863
31864
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 31862

def test_fraction
  @test_fraction
end

#training_fraction ⇒ Float

The fraction of the input data that is to be used to train the Model. Corresponds to the JSON property trainingFraction

Returns:

  • (Float) 


31867
31868
31869
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 31867

def training_fraction
  @training_fraction
end

#validation_fraction ⇒ Float

The fraction of the input data that is to be used to validate the Model. Corresponds to the JSON property validationFraction

Returns:

  • (Float) 


31872
31873
31874
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 31872

def validation_fraction
  @validation_fraction
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



31879
31880
31881
31882
31883
31884
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 31879

def update!(**args)
  @key = args[:key] if args.key?(:key)
  @test_fraction = args[:test_fraction] if args.key?(:test_fraction)
  @training_fraction = args[:training_fraction] if args.key?(:training_fraction)
  @validation_fraction = args[:validation_fraction] if args.key?(:validation_fraction)
end