pmrf.sampling.samplers.LatinHypercubeSampler

class pmrf.sampling.samplers.LatinHypercubeSampler(model)

Bases: BaseSampler

Sampler using Latin Hypercube Sampling (LHS).

LHS is a stratified sampling method that generates sample points that are more evenly distributed across the hypercube than standard random sampling. This implementation uses scipy.stats.qmc.LatinHypercube.

Parameters:

model (ModelT)

__init__(model)

Initialize the sampler.

Parameters:

model (Model) – The model to sample from.

Methods

__class_getitem__(params)
__delattr__(name, /)	Implement delattr(self, name).
__dir__()	Default dir() implementation.
__eq__(value, /)	Return self==value.
__format__(format_spec, /)	Default object formatter.
__ge__(value, /)	Return self>=value.
__getattribute__(name, /)	Return getattr(self, name).
__gt__(value, /)	Return self>value.
__hash__()	Return hash(self).
__init__(model)	Initialize the sampler.
__init_subclass__(*args, **kwargs)	This method is called when a class is subclassed.
__iter__()	Iterate over generated models.
__le__(value, /)	Return self<=value.
__len__()	Return the number of samples in the current iteration context.
__lt__(value, /)	Return self<value.
__ne__(value, /)	Return self!=value.
__new__(**kwargs)
__reduce__()	Helper for pickle.
__reduce_ex__(protocol, /)	Helper for pickle.
__repr__()	Return repr(self).
__setattr__(name, value, /)	Implement setattr(self, name, value).
__sizeof__()	Size of object in memory, in bytes.
__str__()	Return str(self).
__subclasshook__	Abstract classes can override this to customize issubclass().
_generate_hypercube_samples(N, D)	Generate samples using Latin Hypercube Sampling.
_generate_params(N)	Internal method to generate parameter values in physical space.
generate_features(N, features, frequency[, ...])	Generate feature vectors for N random samples.
generate_models(N)	Generate N random model instances using the sampler's engine.
range(N)	Configure the sampler for iteration over N samples.

Attributes

__abstractmethods__
__annotations__
__dict__
__doc__
__module__
__orig_bases__
__parameters__
__slots__
__weakref__	list of weak references to the object (if defined)
_abc_impl
_is_protocol