bigframes.ml.model_selection

Functions for test/train split and model tuning. This module is styled after scikit-learn’s model_selection module: https://scikit-learn.org/stable/modules/classes.html#module-sklearn.model_selection.

Functions

cast(typ, val)	Cast a value to a type.
cross_validate(estimator, X[, y, cv])	Evaluate metric(s) by cross-validation and also record fit/score times.
train_test_split(*arrays[, test_size, ...])	Splits dataframes or series into random train and test subsets.

Classes

KFold([n_splits, random_state])	K-Fold cross-validator.
chain(*iterables)	Return a chain object whose .__next__() method returns elements from the first iterable until it is exhausted, then elements from the next iterable, until all of the iterables are exhausted.