Package nltk :: Module probability :: Class UniformProbDist

Class 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.

Instance Methods

[hide private]

__init__(self, samples)
Construct a new uniform probability distribution, that assigns equal probability to each sample in samples. source code

float

prob(self, sample)
Returns: the probability for a given sample.

source code

any

max(self)
Returns: the sample with the greatest probability.

source code

list

samples(self)
Returns: A list of all samples that have nonzero probabilities.

source code

__repr__(self)
repr(x)

source code

Inherited from ProbDistI: discount, generate, logprob

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __str__

Class Variables

[hide private]

Inherited from ProbDistI: SUM_TO_ONE

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self, samples)
(Constructor)

source code

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.

Overrides: ProbDistI.__init__

prob(self, sample)

source code

Parameters:

sample - The sample whose probability should be returned.

Returns: float

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

Overrides: ProbDistI.prob

(inherited documentation)

max(self)

source code

Returns: any: 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.
Overrides: ProbDistI.max: (inherited documentation)

samples(self)

source code

Returns: list: A list of all samples that have nonzero probabilities. Use prob to find the probability of each sample.
Overrides: ProbDistI.samples: (inherited documentation)

repr(self)
(Representation operator)

source code

repr(x)

Overrides: object.__repr__: (inherited documentation)

Class UniformProbDist

__init__(self, samples) (Constructor)

prob(self, sample)

max(self)

samples(self)

__repr__(self) (Representation operator)

init(self, samples)
(Constructor)

repr(self)
(Representation operator)