specparam.sim.params.param_sampler

specparam.sim.params.param_sampler(params, probs=None)[source]

Create a generator to sample randomly from possible parameters.

Parameters:
paramslist of lists or list of float

Possible parameter values.

probslist of float, optional

Probabilities with which to sample each parameter option. If None, each parameter option is sampled uniformly.

Yields:
list of float

A randomly sampled set of parameters.

Examples

Sample from aperiodic definitions with high and low exponents, with 50% probability of each:

>>> aps = param_sampler([[1, 1], [2, 1]], probs=[0.5, 0.5])

Sample from peak definitions of alpha or alpha & beta, with 75% change of sampling just alpha:

>>> peaks = param_sampler([[10, 1, 1], [[10, 1, 1], [20, 0.5, 1]]], probs=[0.75, 0.25])

Examples using specparam.sim.params.param_sampler

Fitting Power Spectrum Models Across 3D Arrays

Fitting Power Spectrum Models Across 3D Arrays

Simulation Parameters

Simulation Parameters

07: Tuning & Troubleshooting

07: Tuning & Troubleshooting

08: Further Analysis

08: Further Analysis