IMP.pmi.samplers.MonteCarlo Class Reference

Sample using Monte Carlo. More...

Inherits _SamplerBase.

Detailed Description

Sample using Monte Carlo.

Note

This class is only available in Python.

Definition at line 70 of file samplers.py.

Public Member Functions
def	__init__
	Setup Monte Carlo sampling. More...
def	get_nuisance_movers_parameters
	Return a dictionary with the mover parameters for nuisance parameters. More...

Constructor & Destructor Documentation

def IMP.pmi.samplers.MonteCarlo.__init__	(		self,
			model,
			objects = None,
			temp = 1.0,
			filterbyname = None,
			score_moved = False,
			use_jax = False
	)

Setup Monte Carlo sampling.

Parameters

model	The IMP Model
objects	What to sample (a list of Movers)
temp	The MC temperature
filterbyname	Not used
score_moved	If True, attempt to speed up sampling by caching scoring function terms on particles that didn't move
use_jax	If set to True, sample the scoring function using JAX instead of IMP's internal C++ implementation (requires that all PMI restraints used have a JAX implementation).

Definition at line 81 of file samplers.py.

Member Function Documentation

def IMP.pmi.samplers.MonteCarlo.get_nuisance_movers_parameters

(

self

)

Return a dictionary with the mover parameters for nuisance parameters.

Definition at line 142 of file samplers.py.

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The documentation for this class was generated from the following file:

• samplers.py