Class T_acceptor

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This class implements a normal Metropolis-Hastings acceptance of steps.

Instance Methods

__init__(self, T=1.0)
You can change the temperature to do simulated annealing.

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float

T(self)
Returns: the system temperature.

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bool

__call__(self, delta)
Accept a step or not?

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float

jitter(self)
In the acoustic distances paper, it is called $\bar{delta}$ . (Inherited from gmisclib.mcmc.acceptor_base) source code

probe(self, currentpos, stepper)
This is a hook for a special case where you are optimizing a random function or one that is deterministic, but very rough, and you don't care about the small-scale structure. (Inherited from gmisclib.mcmc.acceptor_base)

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reset(self)
In order to make the overal algorithm asymptotically a Markovian, we need to make sure that (asymptotically) the acceptor function depends only on long-term averages, not on recent history. (Inherited from gmisclib.mcmc.acceptor_base)

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Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Instance Variables
	last_probe A pair of position_base instances showing the position and logP at each end of the most recent probe for a discontinuity. (Inherited from gmisclib.mcmc.acceptor_base)