| Package | Description |
|---|---|
| edu.umass.cs.mallet.base.pipe.iterator | |
| edu.umass.cs.mallet.base.topics | |
| edu.umass.cs.mallet.base.types |
| Constructor and Description |
|---|
RandomFeatureVectorIterator(Random r,
Alphabet vocab,
String[] classnames) |
RandomFeatureVectorIterator(Random r,
Dirichlet classCentroidDistribution,
double classCentroidAvergeAlphaMean,
double classCentroidAvergeAlphaVariance,
double featureVectorSizePoissonLambda,
double classInstanceCountPoissonLamba,
String[] classNames) |
RandomFeatureVectorIterator(Random r,
int vocabSize,
int numClasses) |
RandomTokenSequenceIterator(Random r,
Alphabet vocab,
String[] classnames) |
RandomTokenSequenceIterator(Random r,
Dirichlet classCentroidDistribution,
double classCentroidAvergeAlphaMean,
double classCentroidAvergeAlphaVariance,
double featureVectorSizePoissonLambda,
double classInstanceCountPoissonLamba,
String[] classNames) |
RandomTokenSequenceIterator(Random r,
int vocabSize,
int numClasses) |
| Modifier and Type | Method and Description |
|---|---|
void |
TopicalNGrams.estimate(InstanceList documents,
int numIterations,
int showTopicsInterval,
int outputModelInterval,
String outputModelFilename,
Random r) |
void |
LDA.estimate(InstanceList documents,
int numIterations,
int showTopicsInterval,
int outputModelInterval,
String outputModelFilename,
Random r) |
| Modifier and Type | Method and Description |
|---|---|
Dirichlet |
Dirichlet.randomDirichlet(Random r,
double averageAlpha) |
FeatureSequence |
Multinomial.randomFeatureSequence(Random r,
int length) |
FeatureSequence |
Dirichlet.randomFeatureSequence(Random r,
int length) |
FeatureVector |
Multinomial.randomFeatureVector(Random r,
int size) |
FeatureVector |
Dirichlet.randomFeatureVector(Random r,
int size) |
int |
Multinomial.randomIndex(Random r) |
Multinomial |
Dirichlet.randomMultinomial(Random r) |
Object |
Multinomial.randomObject(Random r) |
protected double[] |
Dirichlet.randomRawMultinomial(Random r) |
TokenSequence |
Dirichlet.randomTokenSequence(Random r,
int length) |
double[] |
Dirichlet.randomVector(Random r) |
| Constructor and Description |
|---|
InstanceList(Random r,
Alphabet vocab,
String[] classNames,
int meanInstancesPerLabel) |
InstanceList(Random r,
Dirichlet classCentroidDistribution,
double classCentroidAverageAlphaMean,
double classCentroidAverageAlphaVariance,
double featureVectorSizePoissonLambda,
double classInstanceCountPoissonLambda,
String[] classNames)
Creates a list consisting of randomly-generated
FeatureVectors. |
InstanceList(Random r,
int vocabSize,
int numClasses) |
Copyright © 2019 JULIE Lab, Germany. All rights reserved.