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FractionSplit(mapping=None, *, ignore_unknown_fields=False, **kwargs)
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.
Attributes |
|
---|---|
Name | Description |
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. |