Interface  Description 

VectorTransformer 
:: DeveloperApi ::
Trait for transformation of a vector

Class  Description 

ChiSqSelector 
:: Experimental ::
Creates a ChiSquared feature selector.

ChiSqSelectorModel 
:: Experimental ::
Chi Squared selector model.

ElementwiseProduct 
:: Experimental ::
Outputs the Hadamard product (i.e., the elementwise product) of each input vector with a
provided "weight" vector.

HashingTF 
:: Experimental ::
Maps a sequence of terms to their term frequencies using the hashing trick.

IDF 
:: Experimental ::
Inverse document frequency (IDF).

IDF.DocumentFrequencyAggregator 
Document frequency aggregator.

IDFModel 
:: Experimental ::
Represents an IDF model that can transform term frequency vectors.

Normalizer 
:: Experimental ::
Normalizes samples individually to unit L^p^ norm

PCA 
A feature transformer that projects vectors to a lowdimensional space using PCA.

PCAModel 
Model fitted by
PCA that can project vectors to a lowdimensional space using PCA. 
StandardScaler 
:: Experimental ::
Standardizes features by removing the mean and scaling to unit std using column summary
statistics on the samples in the training set.

StandardScalerModel 
:: Experimental ::
Represents a StandardScaler model that can transform vectors.

VocabWord 
Entry in vocabulary

Word2Vec 
:: Experimental ::
Word2Vec creates vector representation of words in a text corpus.

Word2VecModel 
:: Experimental ::
Word2Vec model
param: wordIndex maps each word to an index, which can retrieve the corresponding
vector from wordVectors
param: wordVectors array of length numWords * vectorSize, vector corresponding
to the word mapped with index i can be retrieved by the slice
(i * vectorSize, i * vectorSize + vectorSize)
