Package org.apache.spark.mllib.feature

Interface Summary

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

Class Summary

Class	Description
ChiSqSelector	:: Experimental :: Creates a ChiSquared feature selector.
ChiSqSelectorModel	:: Experimental :: Chi Squared selector model.
ElementwiseProduct	:: Experimental :: Outputs the Hadamard product (i.e., the element-wise 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 low-dimensional space using PCA.
PCAModel	Model fitted by PCA that can project vectors to a low-dimensional 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
Word2VecModel	:: Experimental :: Word2Vec model