`nltk.DictionaryProbDist`¶

class nltk.DictionaryProbDist(prob_dict=None, log=False, normalize=False)[source]¶: A probability distribution whose probabilities are directly specified by a given dictionary. The given dictionary maps samples to probabilities.

Methods¶

`__init__`([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).
`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)
`max`()
`prob`(sample)
`samples`()
`unicode_repr`()