Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TimestampSplit
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TimestampSplit
- 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
-
#key ⇒ String
Required.
-
#test_fraction ⇒ Float
The fraction of the input data that is to be used to evaluate the Model.
-
#training_fraction ⇒ Float
The fraction of the input data that is to be used to train the Model.
-
#validation_fraction ⇒ Float
The fraction of the input data that is to be used to validate the Model.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1TimestampSplit
constructor
A new instance of GoogleCloudAiplatformV1beta1TimestampSplit.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1TimestampSplit
Returns a new instance of GoogleCloudAiplatformV1beta1TimestampSplit.
25029 25030 25031 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25029 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
25012 25013 25014 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25012 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
25017 25018 25019 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25017 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
25022 25023 25024 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25022 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
25027 25028 25029 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25027 def validation_fraction @validation_fraction end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
25034 25035 25036 25037 25038 25039 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25034 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 |