nltk_lite.probability.UniformProbDist

Package nltk_lite :: Module probability :: Class UniformProbDist

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Type UniformProbDist

object --+    
         |    
 ProbDistI --+
             |
            UniformProbDist

A probability distribution that assigns equal probability to each sample in a given set; and a zero probability to all other samples.

Method Summary
	`__init__(self, samples)` Construct a new uniform probability distribution, that assigns equal probability to each sample in `samples`.
	`__repr__(self)`
any	`max(self)` Return the sample with the greatest probability.
float	`prob(self, sample)` Return the probability for a given sample.
`list`	`samples(self)` Return a list of all samples that have nonzero probabilities.
Inherited from `ProbDistI`: `logprob` Inherited from `object`: `__delattr__`, `__getattribute__`, `__hash__`, `__new__`, `__reduce__`, `__reduce_ex__`, `__setattr__`, `__str__`

Method Details

Construct a new uniform probability distribution, that assigns equal probability to each sample in samples.

Parameters:: samples - The samples that should be given uniform probability.
(type=list)

Returns:: the sample with the greatest probability. If two or more samples have the same probability, return one of them; which sample is returned is undefined.
(type=any)

Overrides:: nltk_lite.probability.ProbDistI.max (inherited documentation)

Parameters:: sample - The sample whose probability should be returned.
(type=any)

Returns:: the probability for a given sample. Probabilities are always real numbers in the range [0, 1].
(type=float)

Overrides:: nltk_lite.probability.ProbDistI.prob (inherited documentation)

Returns:: A list of all samples that have nonzero probabilities. Use prob to find the probability of each sample.
(type=list)

Overrides:: nltk_lite.probability.ProbDistI.samples (inherited documentation)

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