Qubifer.Qubifer Class Reference

Public Member Functions
def	__init__ (self, is_quantum=False)
def	describe_yourself (self)
def	read_bif (self, path)
def	write_bif (self, path)

Public Attributes
	is_quantum
	nd_sizes
	states
	parents
	pot_arrays

Detailed Description

A .bif file is a popular and simple text file format for saving Bayesian
Networks. There are several very helpful Bayesian Networks Repositories
on the internet that collect Bnets in .bif and other formats. This is a
simple stand-alone Python class from Quantum Fog that reads/writes a
.bif file and loads it into convenient attributes. Different Python
Bayesian network programs can access the attributes of this class to
fill their own native attributes.

This class can handle both real and complex valued CPT = Conditional
Probability Distribution. real positive CPT for CBnets (
is_quantum==False) and complex CPT for QBnets (is_quantum==True)

As an example, here is the famous Asia network in bif format:

network unknown {

variable asia {
  type discrete [ 2 ] { yes, no };
}
variable tub {
  type discrete [ 2 ] { yes, no };
}
variable smoke {
  type discrete [ 2 ] { yes, no };
}
variable lung {
  type discrete [ 2 ] { yes, no };
}
variable bronc {
  type discrete [ 2 ] { yes, no };
}
variable either {
  type discrete [ 2 ] { yes, no };
}
variable xray {
  type discrete [ 2 ] { yes, no };
}
variable dysp {
  type discrete [ 2 ] { yes, no };
}
probability ( asia ) {
  table 0.01, 0.99;
}
probability ( tub | asia ) {
  (yes) 0.05, 0.95;
  (no) 0.01, 0.99;
}
probability ( smoke ) {
  table 0.5, 0.5;
}
probability ( lung | smoke ) {
  (yes) 0.1, 0.9;
  (no) 0.01, 0.99;
}
probability ( bronc | smoke ) {
  (yes) 0.6, 0.4;
  (no) 0.3, 0.7;
}
probability ( either | lung, tub ) {
  (yes, yes) 1.0, 0.0;
  (no, yes) 1.0, 0.0;
  (yes, no) 1.0, 0.0;
  (no, no) 0.0, 1.0;
}
probability ( xray | either ) {
  (yes) 0.98, 0.02;
  (no) 0.05, 0.95;
}
probability ( dysp | bronc, either ) {
  (yes, yes) 0.9, 0.1;
  (no, yes) 0.7, 0.3;
  (yes, no) 0.8, 0.2;
  (no, no) 0.1, 0.9;
}
}


Attributes
----------
is_quantum : bool
nd_sizes : dict[str, int]
states : dict[str, list[str]]
parents : dict[str, list[str]]
pot_arrays : dict[str, numpy.ndarray]

Constructor & Destructor Documentation

def Qubifer.Qubifer.__init__	(		self,
			is_quantum = False
	)

Constructor

Parameters
----------
is_quantum : bool

Returns
-------

Member Function Documentation

def Qubifer.Qubifer.describe_yourself

(

self

)

For debugging purposes

Returns
-------

def Qubifer.Qubifer.read_bif	(		self,
			path
	)

Reads a .bif file (really just a .txt file)

Parameters
----------
path : str

Returns
-------

def Qubifer.Qubifer.write_bif	(		self,
			path
	)

Writes a .bif file.


Parameters
----------
path : str

Returns
-------

---

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

• Qubifer.py