PBNT.Distribution.DiscreteDistribution Class Reference

Inheritance diagram for PBNT.Distribution.DiscreteDistribution:

Collaboration diagram for PBNT.Distribution.DiscreteDistribution:

Public Member Functions
def	__init__ (self, node)
def	set_value (self, value, probability)
def	size (self)
def	sample (self)
def	__eq__ (self, other)
Public Member Functions inherited from PBNT.Distribution.Potential
def	__init__ (self, nodes, table=[], default=1)
def	marginalize (self, other)
def	normalize (self)
def	generate_index_node (self, index, nodes)
def	generate_index (self, index, axis)
def	transpose (self, nodes)
def	transpose_copy (self, nodes)
def	__eq__ (self, other)
def	__getitem__ (self, index)
def	__setitem__ (self, index, value)
def	__add__ (self, right)
def	__iadd__ (self, right)
def	__mul__ (self, right)
def	__imul__ (self, right)
def	__rmul__ (self, other)
def	__truediv__ (self, other)
def	__idiv__ (self, other)
def	__deepcopy__ (self, memo)

Public Attributes
	node
	nodes
	table
	dims
	nDims
Public Attributes inherited from PBNT.Distribution.Potential
	nodes
	dims
	table
	nDims

Private Attributes
	__nodeSet_

Detailed Description

The basic class for a distribution, it defines a simple distribution over a set number of values.  This is not to be confused with ConditionalDiscreteDistribution, which is a discrete distribution conditioned on other discrete distributions.

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The documentation for this class was generated from the following file:

• PBNT/Distribution.py