| Trees | Indices | Help |
|
|---|
|
|
| Instance Methods | |||
|
|||
|
|||
|
|||
|
|||
| position_base |
|
||
|
|||
|
|||
numpy.ndarray
|
|
||
|
|||
|
|||
| int |
|
||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
Inherited from |
|||
| Class Variables | |
F = 0.234F is the targeted step acceptance rate. (Inherited from gmisclib.mcmc.BootStepper) |
|
PBootLim = 0.9PBootLim Limits the probability of taking a bootstrap step. (Inherited from gmisclib.mcmc.BootStepper) |
|
SANNEAL = Simulated annealing (Inherited from gmisclib.mcmc.BootStepper) |
|
SSALWAYS =
(Inherited from gmisclib.mcmc.BootStepper)
|
|
SSAMPLE = Sampling mode (Inherited from gmisclib.mcmc.BootStepper) |
|
SSAUTO =
(Inherited from gmisclib.mcmc.BootStepper)
|
|
SSLOW =
(Inherited from gmisclib.mcmc.BootStepper)
|
|
SSNEVER =
(Inherited from gmisclib.mcmc.BootStepper)
|
|
SUPHILL = Go straight uphill (Inherited from gmisclib.mcmc.BootStepper) |
|
alpha = 0.1How 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) |
|
|
last_failed It should reflect the success or failure of the most recently completed step. (Inherited from gmisclib.mcmc.stepper) |
|
|
np The number of parameters: (Inherited from gmisclib.mcmc.BootStepper) |
|
|
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
|
In subclasses, this takes a step and returns 0 or 1, depending on whether the step was accepted or not.
|
| Trees | Indices | Help |
|
|---|
| Generated by Epydoc 3.0.1 on Thu Sep 22 04:25:07 2011 | http://epydoc.sourceforge.net |