| Parameters: |
- label_probdist – P(label), the probability distribution
over labels. It is expressed as a
ProbDistI whose
samples are labels. I.e., P(label) =
label_probdist.prob(label).
- feature_probdist – P(fname=fval|label), the probability
distribution for feature values, given labels. It is
expressed as a dictionary whose keys are
(label, fname)
pairs and whose values are ProbDistI objects over feature
values. I.e., P(fname=fval|label) =
feature_probdist[label,fname].prob(fval). If a given
(label,fname) is not a key in feature_probdist, then
it is assumed that the corresponding P(fname=fval|label)
is 0 for all values of fval.
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