Interface  Description 

VectorTransformer 
Trait for transformation of a vector

Class  Description 

ChiSqSelector 
Creates a ChiSquared feature selector.

ChiSqSelectorModel 
Chi Squared selector model.

ChiSqSelectorModel.SaveLoadV1_0$  
ElementwiseProduct 
Outputs the Hadamard product (i.e., the elementwise product) of each input vector with a
provided "weight" vector.

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

IDF 
Inverse document frequency (IDF).

IDF.DocumentFrequencyAggregator 
Document frequency aggregator.

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

Normalizer 
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. 
PCAUtil  
StandardScaler 
Standardizes features by removing the mean and scaling to unit std using column summary
statistics on the samples in the training set.

StandardScalerModel 
Represents a StandardScaler model that can transform vectors.

VocabWord 
Entry in vocabulary

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

Word2VecModel 
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)
