gemseo / mlearning / resampling

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bootstrap module

A bootstrap tool for resampling and surrogate modeling.

class gemseo.mlearning.resampling.bootstrap.Bootstrap(sample_indices, n_replicates=100, seed=0)[source]

Bases: BaseResampler

A bootstrap tool for resampling and surrogate modeling.

Parameters:

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

  • n_replicates (int) –

    The number of bootstrap replicates.

    By default it is set to 100.

  • 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_replicates: int

The number of bootstrap replicates.

name: str

The name of the resampler.

Use the class name by default.