twinlab.SampleParams

class twinlab.SampleParams(seed=None, fidelity=None)

Parameter configuration for sampling from a trained emulator.

Variables:

• seed (Union[int, None], optional) – Specifies the seed used by the random number generator to generate a set of samples. Setting this to an integer is useful for the reproducibility of results. The default value is None, which means the seed is randomly generated each time.

• fidelity (Union[pandas.DataFrame, None], optional) – Fidelity information to be provided if the model is a multi-fidelity model (estimator_type="multi_fidelity_gp" in EstimatorParams). This must be a single column pandas.DataFrame with the same sample order as the dataframe of X values used to draw samples. The default value is None, which is appropriate for most trained emulators.

__init__(seed=None, fidelity=None)

Methods

__init__([seed, fidelity])
unpack_parameters()