Package org.apache.spark.mllib.linalg

package org.apache.spark.mllib.linalg

Related Packages

Package	Description
org.apache.spark.mllib	RDD-based machine learning APIs (in maintenance mode).
org.apache.spark.mllib.linalg.distributed

Class	Description
ARPACK	ARPACK routines for MLlib's vectors and matrices.
BLAS	BLAS routines for MLlib's vectors and matrices.
CholeskyDecomposition	Compute Cholesky decomposition.
DenseMatrix	Column-major dense matrix.
DenseVector	A dense vector represented by a value array.
EigenValueDecomposition	Compute eigen-decomposition.
LAPACK	LAPACK routines for MLlib's vectors and matrices.
Matrices	Factory methods for Matrix.
Matrix	Trait for a local matrix.
MatrixImplicits	Implicit methods available in Scala for converting Matrix to Matrix and vice versa.
QRDecomposition<QType,RType>	Represents QR factors.
SingularValueDecomposition<UType,VType>	Represents singular value decomposition (SVD) factors.
SparseMatrix	Column-major sparse matrix.
SparseVector	A sparse vector represented by an index array and a value array.
Vector	Represents a numeric vector, whose index type is Int and value type is Double.
VectorImplicits	Implicit methods available in Scala for converting Vector to Vector and vice versa.
Vectors	Factory methods for Vector.
VectorUDT	:: AlphaComponent ::