| Package | Description |
|---|---|
| edu.umass.cs.mallet.base.classify | |
| edu.umass.cs.mallet.base.types |
| Constructor and Description |
|---|
NaiveBayes(Pipe dataPipe,
Multinomial prior,
Multinomial[] classIndex2FeatureProb)
Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification,
and feature estimates of each Classification.
|
NaiveBayes(Pipe dataPipe,
Multinomial prior,
Multinomial[] classIndex2FeatureProb)
Construct a NaiveBayes classifier from a pipe, prior estimates for each Classification,
and feature estimates of each Classification.
|
| Modifier and Type | Class and Description |
|---|---|
static class |
Multinomial.Logged
A Multinomial in which the values associated with each feature index fi is
Math.log(probability[fi]) instead of probability[fi].
|
| Modifier and Type | Method and Description |
|---|---|
abstract Multinomial |
Multinomial.Estimator.estimate() |
Multinomial |
Multinomial.MEstimator.estimate() |
Multinomial |
Multinomial.MAPEstimator.estimate() |
Multinomial |
Dirichlet.randomMultinomial(Random r) |
| Modifier and Type | Method and Description |
|---|---|
void |
Dirichlet.Estimator.addMultinomial(Multinomial m) |
| Constructor and Description |
|---|
Logged(Multinomial m) |
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