org.apache.spark.mllib

feature

package feature

Visibility
  1. Public
  2. All

Type Members

  1. class ChiSqSelector extends Serializable

    :: Experimental :: Creates a ChiSquared feature selector.

  2. class ChiSqSelectorModel extends VectorTransformer

    :: Experimental :: Chi Squared selector model.

  3. class ElementwiseProduct extends VectorTransformer

    :: Experimental :: Outputs the Hadamard product (i.

  4. class HashingTF extends Serializable

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

  5. class IDF extends AnyRef

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

  6. class IDFModel extends Serializable

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

  7. class Normalizer extends VectorTransformer

    :: Experimental :: Normalizes samples individually to unit Lp norm

  8. class PCA extends AnyRef

    A feature transformer that projects vectors to a low-dimensional space using PCA.

  9. class PCAModel extends VectorTransformer

    Model fitted by PCA that can project vectors to a low-dimensional space using PCA.

  10. class StandardScaler extends Logging

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

  11. class StandardScalerModel extends VectorTransformer

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

  12. trait VectorTransformer extends Serializable

    :: DeveloperApi :: Trait for transformation of a vector

  13. class Word2Vec extends Serializable with Logging

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

  14. class Word2VecModel extends Serializable with Saveable

    :: Experimental :: Word2Vec model

Value Members

  1. object Word2VecModel extends Loader[Word2VecModel] with Serializable

    Annotations
    @Since( "1.4.0" ) @Experimental()

Ungrouped