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Diffstat (limited to 'beliefs/factors/BernoulliOrFactor.py')
-rw-r--r-- | beliefs/factors/BernoulliOrFactor.py | 42 |
1 files changed, 0 insertions, 42 deletions
diff --git a/beliefs/factors/BernoulliOrFactor.py b/beliefs/factors/BernoulliOrFactor.py deleted file mode 100644 index 4f973ae..0000000 --- a/beliefs/factors/BernoulliOrFactor.py +++ /dev/null @@ -1,42 +0,0 @@ -import numpy as np - - -class BernoulliOrFactor: - """CPD class for a Bernoulli random variable whose relationship to its - parents is described by OR logic. - - If at least one of a child's parents is True, then the child is True, and - False otherwise.""" - def __init__(self, child, parents=set()): - self.child = child - self.parents = set(parents) - self.variables = set([child] + list(parents)) - self.cardinality = [2]*len(self.variables) - self._values = None - - @property - def values(self): - if self._values is None: - self._values = self._build_kwise_values_array(len(self.variables)) - self._values = self._values.reshape(self.cardinality) - return self._values - - def get_values(self): - """ - Returns the tabular cpd form of the values. - """ - if len(self.cardinality) == 1: - return self.values.reshape(1, np.prod(self.cardinality)) - else: - return self.values.reshape(self.cardinality[0], np.prod(self.cardinality[1:])) - - @staticmethod - def _build_kwise_values_array(k): - # special case a completely independent factor, and - # return the uniform prior - if k == 1: - return np.array([0.5, 0.5]) - - return np.array( - [1.,] + [0.]*(2**(k-1)-1) + [0.,] + [1.]*(2**(k-1)-1) - ) |