nltk.MutableProbDist¶
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class
nltk.MutableProbDist(prob_dist, samples, store_logs=True)[source]¶ An mutable probdist where the probabilities may be easily modified. This simply copies an existing probdist, storing the probability values in a mutable dictionary and providing an update method.
Methods¶
__init__(prob_dist, samples[, store_logs]) |
Creates the mutable probdist based on the given prob_dist and using the list of samples given. |
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) |
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max() |
Return the sample with the greatest probability. |
prob(sample) |
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samples() |
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update(sample, prob[, log]) |
Update the probability for the given sample. |
Attributes¶
SUM_TO_ONE |