Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TimestampSplit

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 training, validation, and test sets based on a provided timestamps. The youngest data pieces are assigned to training set, next to validation set, and the oldest to the test set. Supported only for tabular Datasets.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1TimestampSplit

Returns a new instance of GoogleCloudAiplatformV1beta1TimestampSplit.



33332
33333
33334
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 33332

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 values of the key (the values in the column) must be in RFC 3339 date-time format, where time-offset = "Z" (e.g. 1985-04-12T23:20:50.52Z). If for a piece of data the key is not present or has an invalid value, that piece is ignored by the pipeline. Corresponds to the JSON property key

Returns:

  • (String) 


33315
33316
33317
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 33315

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) 


33320
33321
33322
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 33320

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) 


33325
33326
33327
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 33325

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) 


33330
33331
33332
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 33330

def validation_fraction
  @validation_fraction
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



33337
33338
33339
33340
33341
33342
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 33337

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