neurodsp.sim.update.ParamSampler¶
- class neurodsp.sim.update.ParamSampler(params, samplers, n_samples=None)[source]¶
Object for sampling parameter definitions.
- Parameters:
- paramsdict
Parameter definition to create sampler with.
- samplersdict
Sampler definitions to update parameters with. Each key should be a callable, a parameter updated function. Each value should be a generator, to sample updated parameter values from.
- n_samplesint, optional
The number of parameter iterations to set as max. If None, creates an infinite generator.
- Attributes:
- indexint
Index of current number of yielded parameter definitions.
- yieldergenerator
Generator for sampling the parameter samples.
Methods
__init__(params, samplers[, n_samples])Initialize parameter sampler object.
Attributes
Alias in base parameters as property attribute.
- property base¶
Alias in base parameters as property attribute.
