Package csb :: Package statistics :: Package samplers :: Package mc :: Class AbstractMC

Class AbstractMC

     object --+    
              |    
AbstractSampler --+
                  |
                 AbstractMC

Known Subclasses:

Abstract Monte Carlo sampler class. Subclasses implement various Monte carlo equilibrium sampling schemes.

Nested Classes
Inherited from `AbstractSampler`: `__metaclass__`

Instance Methods

__init__(self, state)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

AbstractState

sample(self)
Draw a sample.

source code

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

Class Variables
	__abstractmethods__ = `frozenset(['energy', 'sample'])`

Properties
	energy Energy of the current state.
	state Current state.
Inherited from `object`: `__class__`

Method Details

init(self, state)
(Constructor)

source code

x.__init__(...) initializes x; see help(type(x)) for signature

Parameters:

state (AbstractState) - Initial state

Overrides: object.__init__

(inherited documentation)

sample(self)

source code

Draw a sample.

Returns: AbstractState
Overrides: AbstractSampler.sample

Property Details

energy

Energy of the current state.

Get Method:: unreachable.energy(self) - Energy of the current state.

state

Current state.

Get Method:: unreachable.state(self) - Current state.
Set Method:: unreachable.state(self, value)

Class AbstractMC

__init__(self, state) (Constructor)

sample(self)

energy

state

init(self, state)
(Constructor)