asaini
kohlmeier
/ ka_bnet_numpy.py
Created
March 26, 2012 21:59
Bayes net example in Python with Khan Academy data
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| #!/usr/bin/env python | |
| from numpy import asmatrix, asarray, ones, zeros, mean, sum, arange, prod, dot, loadtxt | |
| from numpy.random import random, randint | |
| import pickle | |
| MISSING_VALUE = -1 # a constant I will use to denote missing integer values | |
| def impute_hidden_node(E, I, theta, sample_hidden): |