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.



29961
29962
29963
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29961

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) 


29944
29945
29946
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29944

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) 


29949
29950
29951
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29949

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) 


29954
29955
29956
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29954

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) 


29959
29960
29961
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29959

def validation_fraction
  @validation_fraction
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



29966
29967
29968
29969
29970
29971
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 29966

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