`nltk.ProbDistI`¶

class nltk.ProbDistI[source]¶: A probability distribution for the outcomes of an experiment. A probability distribution specifies how likely it is that an experiment will have any given outcome. For example, a probability distribution could be used to predict the probability that a token in a document will have a given type. Formally, a probability distribution can be defined as a function mapping from samples to nonnegative real numbers, such that the sum of every number in the function’s range is 1.0. A ProbDist is often used to model the probability distribution of the experiment used to generate a frequency distribution.

Methods¶

`__init__`()
`discount`()	Return the ratio by which counts are discounted on average: c*/c
`generate`()	Return a randomly selected sample from this probability distribution.
`logprob`(sample)	Return the base 2 logarithm of the probability for a given sample.
`max`()	Return the sample with the greatest probability.
`prob`(sample)	Return the probability for a given sample.
`samples`()	Return a list of all samples that have nonzero probabilities.