`nltk.ELEProbDist`¶

class nltk.ELEProbDist(freqdist, bins=None)[source]¶: The expected likelihood estimate for the probability distribution of the experiment used to generate a frequency distribution. The “expected likelihood estimate” approximates the probability of a sample with count c from an experiment with N outcomes and B bins as (c+0.5)/(N+B/2). This is equivalent to adding 0.5 to the count for each bin, and taking the maximum likelihood estimate of the resulting frequency distribution.

Methods¶

`__init__`(freqdist[, bins])	Use the expected likelihood estimate to create a probability distribution for the experiment used to generate `freqdist`.
`discount`()
`freqdist`()	Return the frequency distribution that this probability distribution is based on.
`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`()
`prob`(sample)
`samples`()
`unicode_repr`()	Return a string representation of this `ProbDist`.