Method Summary |
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__init__ (self,
prob_dict,
log,
normalize)
Construct a new probability distribution from the given dictionary,
which maps values to probabilities (or to log probabilities, if
log is true). |
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__repr__(self)
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float
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logprob (self,
sample)
Return the natural logarithm of the probability for a given sample. |
any
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max (self)
Return the sample with the greatest probability. |
float
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prob (self,
sample)
Return the probability for a given sample. |
list
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samples (self)
Return a list of all samples that have nonzero probabilities. |
Inherited from object :
__delattr__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__setattr__ ,
__str__
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