nltk.probability.UniformProbDist

class documentation

class UniformProbDist(ProbDistI): (source)

Constructor: UniformProbDist(samples)

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

Method	`__init__`	Construct a new uniform probability distribution, that assigns equal probability to each sample in `samples`.
Method	`__repr__`	Undocumented
Method	`max`	Return 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.
Method	`prob`	Return the probability for a given sample. Probabilities are always real numbers in the range [0, 1].
Method	`samples`	Return a list of all samples that have nonzero probabilities. Use `prob` to find the probability of each sample.
Instance Variable	`_prob`	Undocumented
Instance Variable	`_samples`	Undocumented
Instance Variable	`_sampleset`	Undocumented

Inherited from ProbDistI:

Method	`discount`	Return the ratio by which counts are discounted on average: c*/c
Method	`generate`	Return a randomly selected sample from this probability distribution. The probability of returning each sample `samp` is equal to `self.prob(samp)`.
Method	`logprob`	Return the base 2 logarithm of the probability for a given sample.
Constant	`SUM_TO_ONE`	True if the probabilities of the samples in this probability distribution will always sum to one.

def __init__(self, samples): (source) ¶

overrides nltk.probability.ProbDistI.__init__

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

Parameters
samples:list	The samples that should be given uniform probability.
Raises
`ValueError`	If `samples` is empty.

def __repr__(self): (source) ¶

Undocumented

def max(self): (source) ¶

overrides nltk.probability.ProbDistI.max

Return 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.

Returns
any	Undocumented

def prob(self, sample): (source) ¶

overrides nltk.probability.ProbDistI.prob

Return the probability for a given sample. Probabilities are always real numbers in the range [0, 1].

Parameters
sample:any	The sample whose probability should be returned.
Returns
float	Undocumented

def samples(self): (source) ¶

overrides nltk.probability.ProbDistI.samples

Return a list of all samples that have nonzero probabilities. Use prob to find the probability of each sample.

Returns
list	Undocumented

_prob = (source) ¶

Undocumented

_samples = (source) ¶

Undocumented

_sampleset = (source) ¶

Undocumented