`nltk.LaplaceProbDist`¶

class nltk.LaplaceProbDist(freqdist, bins=None)[source]¶: The Laplace estimate for the probability distribution of the experiment used to generate a frequency distribution. The “Laplace estimate” approximates the probability of a sample with count c from an experiment with N outcomes and B bins as (c+1)/(N+B). This is equivalent to adding one to the count for each bin, and taking the maximum likelihood estimate of the resulting frequency distribution.

Methods¶

__init__(freqdist[, bins]) Use the Laplace 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()

rtype:	str