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IMP Reference Guide
develop.169ea894ba,2025/11/01
The Integrative Modeling Platform
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Sample using Monte Carlo. More...
Sample using Monte Carlo.
Definition at line 46 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... | |
| def IMP.pmi.samplers.MonteCarlo.__init__ | ( | self, | |
| model, | |||
objects = None, |
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temp = 1.0, |
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filterbyname = None, |
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score_moved = False |
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| ) |
Setup Monte Carlo sampling.
| 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 |
Definition at line 56 of file samplers.py.
| def IMP.pmi.samplers.MonteCarlo.get_nuisance_movers_parameters | ( | self | ) |
Return a dictionary with the mover parameters for nuisance parameters.
Definition at line 125 of file samplers.py.