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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class FractionSplit.
Assigns the input data to training, validation, and test sets as per the
given fractions. Any of training_fraction
, validation_fraction
and test_fraction
may optionally be provided, they must sum to up to 1. If the
provided ones sum to less than 1, the remainder is assigned to sets as
decided by Vertex AI. If none of the fractions are set, by default roughly
80% of data is used for training, 10% for validation, and 10% for test.
Generated from protobuf message google.cloud.aiplatform.v1.FractionSplit
Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ 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.
↳ test_fraction
float
The fraction of the input data that is to be used to evaluate the Model.
getTrainingFraction
The fraction of the input data that is to be used to train the Model.
float
setTrainingFraction
The fraction of the input data that is to be used to train the Model.
var
float
$this
getValidationFraction
The fraction of the input data that is to be used to validate the Model.
float
setValidationFraction
The fraction of the input data that is to be used to validate the Model.
var
float
$this
getTestFraction
The fraction of the input data that is to be used to evaluate the Model.
float
setTestFraction
The fraction of the input data that is to be used to evaluate the Model.
var
float
$this
