gemseo / mlearning / resampling

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cross_validation module

A cross-validation tool for resampling and surrogate modeling.

class gemseo.mlearning.resampling.cross_validation.CrossValidation(sample_indices, n_folds=5, randomize=False, seed=0)

Bases: Resampler

A cross-validation tool for resampling and surrogate modeling.

Parameters:

• sample_indices (NDArray[int]) – The original indices of the samples.

• n_folds (int) –

  The number of folds.

  By default it is set to 5.

• randomize (bool) –

  Whether the sample indices are shuffled before splitting.

  By default it is set to False.

• seed (int | None) –

  The seed to initialize the random generator. If None, then fresh, unpredictable entropy will be pulled from the OS.

  By default it is set to 0.

property n_folds: int

The number of folds.

name: str

The name of the resampler.

Use the class name by default.

property randomize: bool

Whether the sample indices are shuffled before splitting.

property shuffled_sample_indices: NDArray[int]

The original indices of the samples.