8.1.1.6.1.9. skimpy.sampling.simple_resampler¶

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8.1.1.6.1.9.1. Classes¶

SimpleResampler

A parameter sampler that tries to resample parameters that are not included

8.1.1.6.1.9.2. Module Contents¶

class skimpy.SimpleResampler(parameters=None)¶

Bases: skimpy.sampling.SimpleParameterSampler

A parameter sampler that tries to resample parameters that are not included in the given fixed_parameter_population.

The maximum number of trials to get a stable model is implemented differently than SimpleParameterSampler. In SimpleParameterSampler the maximum number of trials is the maximum # of sampling attemps to get a stable model when .sample() is called. Here, maximum number of trials is defined per parameter vector in fixed_parameter_population. If a certain parameter vector exceeds the maximum # of trials to get a stable model, the method moves to the next parameter vector in fixed_parameter_population

Used for performing Global Sensitivity Analysis

sample(compiled_model, flux_dict, concentration_dict, parameters_to_resample, fixed_parameter_population, min_max_eigenvalues=False, seed=321, bounds_sample=(0, 1))¶

Returns: