Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StratifiedSplit

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

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) ⇒ GoogleCloudAiplatformV1StratifiedSplit

Returns a new instance of GoogleCloudAiplatformV1StratifiedSplit.



31992
31993
31994
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31992

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) 


31975
31976
31977
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31975

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) 


31980
31981
31982
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31980

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) 


31985
31986
31987
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31985

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) 


31990
31991
31992
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31990

def validation_fraction
  @validation_fraction
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



31997
31998
31999
32000
32001
32002
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31997

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