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-rw-r--r--beliefs/factors/BernoulliOrFactor.py42
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)
- )