nlp/com.londogard.nlp.meachinelearning.vectorizer.count/DenseCountVectorizer

DenseCountVectorizer

public final class DenseCountVectorizer<T extends Number> implements Vectorizer<T, Float>

DenseCountVectorizer uses dense data. Dense data is faster at operating, but because the data is usually so sparse a sparse structure ends up faster. Only use this if you're sure your data is very dense!

Constructors

public DenseCountVectorizer<T> DenseCountVectorizer( PercentOrCount minDf, PercentOrCount maxDf, IntRange ngramRange)

Functions

fit

public Unit fit(List<List<String>> input)

Does a fitTransform

fitTransform

public NDArray<Float, D2> fitTransform(List<List<String>> input)

getMaxDf

public final PercentOrCount getMaxDf()

getMinDf

public final PercentOrCount getMinDf()

getNgramRange

public final IntRange getNgramRange()

transform

public NDArray<Float, D2> transform(List<List<String>> input)

Properties

maxDf

private final PercentOrCount maxDf

minDf

private final PercentOrCount minDf

ngramRange

private final IntRange ngramRange