Skip to content

pydvl.valuation.samplers.utils

This module contains mixin classes.

Currently only one for samplers which use a random number generator.

StochasticSamplerMixin 

StochasticSamplerMixin(*args, seed: Seed | None = None, **kwargs)

Mixin class for samplers which use a random number generator. Args: seed: Seed for the random number generator. Passed to numpy.random.default_rng.

Source code in src/pydvl/valuation/samplers/utils.py 
22
23
24
def __init__(self, *args, seed: Seed | None = None, **kwargs):
    super().__init__(*args, **kwargs)
    self._rng = np.random.default_rng(seed)