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position_base |
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numpy.ndarray
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int |
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Inherited from |
Class Variables | |
F = 0.234 F is the targeted step acceptance rate. (Inherited from gmisclib.mcmc.BootStepper) |
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PBootLim = 0.9 PBootLim Limits the probability of taking a bootstrap step. (Inherited from gmisclib.mcmc.BootStepper) |
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SANNEAL =
Simulated annealing (Inherited from gmisclib.mcmc.BootStepper) |
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SSALWAYS =
(Inherited from gmisclib.mcmc.BootStepper)
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SSAMPLE =
Sampling mode (Inherited from gmisclib.mcmc.BootStepper) |
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SSAUTO =
(Inherited from gmisclib.mcmc.BootStepper)
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SSLOW =
(Inherited from gmisclib.mcmc.BootStepper)
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SSNEVER =
(Inherited from gmisclib.mcmc.BootStepper)
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SUPHILL =
Go straight uphill (Inherited from gmisclib.mcmc.BootStepper) |
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alpha = 0.1 How rapidly should one expand the archive after a reset? (Inherited from gmisclib.mcmc.BootStepper) |
Instance Variables | |
acceptable Acceptable is a function that decides whether or not a step is OK. (Inherited from gmisclib.mcmc.stepper) |
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last_failed It should reflect the success or failure of the most recently completed step. (Inherited from gmisclib.mcmc.stepper) |
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np The number of parameters: (Inherited from gmisclib.mcmc.BootStepper) |
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np_eff In a multiprocessor situation, np_eff tells you how much data do you need to store locally, so that the overall group of processors stores enough variety of data. (Inherited from gmisclib.mcmc.BootStepper) |
Properties | |
Inherited from |
Method Details |
x.__init__(...) initializes x; see help(type(x)) for signature
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In subclasses, this takes a step and returns 0 or 1, depending on whether the step was accepted or not.
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