def __init__(self, input=None, db='ram', name='MCMC', **kwds):
"""Initialize an MCMC instance.
:Parameters:
- input : module, list, tuple, dictionary, set, object or nothing.
Model definition, in terms of Stochastics, Deterministics, Potentials and Containers.
If nothing, all nodes are collected from the base namespace.
- db : string
The name of the database backend that will store the values
of the stochastics and deterministics sampled during the MCMC loop.
- verbose : integer
Level of output verbosity: 0=none, 1=low, 2=medium, 3=high
- **kwds :
Keywords arguments to be passed to the database instantiation method.
"""
Sampler.__init__(self, input, db, name, calc_deviance=True, **kwds)
self.step_method_dict = {}
for s in self.stochastics:
self.step_method_dict[s] = []
self._state = [
'status', '_current_iter', '_iter', '_tune_interval', '_burn',
'_thin'
]
def __init__(self, input=None, db='ram', eps=.001, diff_order = 5, **kwds):
if not scipy_imported:
raise ImportError, 'Scipy must be installed to use NormApprox and MAP.'
MAP.__init__(self, input, eps, diff_order)
Sampler.__init__(self, input, db, reinit_model=False, **kwds)
self.C = NormApproxC(self)
def __init__(self, input=None, db="ram", name="MCMC", calc_deviance=True, **kwds):
"""Initialize an MCMC instance.
:Parameters:
- input : module, list, tuple, dictionary, set, object or nothing.
Model definition, in terms of Stochastics, Deterministics, Potentials and Containers.
If nothing, all nodes are collected from the base namespace.
- db : string
The name of the database backend that will store the values
of the stochastics and deterministics sampled during the MCMC loop.
- verbose : integer
Level of output verbosity: 0=none, 1=low, 2=medium, 3=high
- **kwds :
Keywords arguments to be passed to the database instantiation method.
"""
Sampler.__init__(self, input, db, name, calc_deviance=calc_deviance, **kwds)
self._sm_assigned = False
self.step_method_dict = {}
for s in self.stochastics:
self.step_method_dict[s] = []
self._state = ["status", "_current_iter", "_iter", "_tune_interval", "_burn", "_thin"]
