org.apache.spark.mllib.linalg

SparseMatrix

class SparseMatrix extends Matrix

Column-major sparse matrix. The entry values are stored in Compressed Sparse Column (CSC) format. For example, the following matrix

1.0 0.0 4.0
0.0 3.0 5.0
2.0 0.0 6.0

is stored as values: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], rowIndices=[0, 2, 1, 0, 1, 2], colPointers=[0, 2, 3, 6].

Annotations
@Since( "1.2.0" ) @SQLUserDefinedType()
Source
Matrices.scala
Linear Supertypes
Matrix, Serializable, Serializable, AnyRef, Any
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  1. SparseMatrix
  2. Matrix
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Instance Constructors

  1. new SparseMatrix(numRows: Int, numCols: Int, colPtrs: Array[Int], rowIndices: Array[Int], values: Array[Double])

    Column-major sparse matrix.

    Column-major sparse matrix. The entry values are stored in Compressed Sparse Column (CSC) format. For example, the following matrix

    1.0 0.0 4.0
    0.0 3.0 5.0
    2.0 0.0 6.0

    is stored as values: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], rowIndices=[0, 2, 1, 0, 1, 2], colPointers=[0, 2, 3, 6].

    numRows

    number of rows

    numCols

    number of columns

    colPtrs

    the index corresponding to the start of a new column

    rowIndices

    the row index of the entry. They must be in strictly increasing order for each column

    values

    non-zero matrix entries in column major

    Annotations
    @Since( "1.2.0" )
  2. new SparseMatrix(numRows: Int, numCols: Int, colPtrs: Array[Int], rowIndices: Array[Int], values: Array[Double], isTransposed: Boolean)

    numRows

    number of rows

    numCols

    number of columns

    colPtrs

    the index corresponding to the start of a new column (if not transposed)

    rowIndices

    the row index of the entry (if not transposed). They must be in strictly increasing order for each column

    values

    nonzero matrix entries in column major (if not transposed)

    isTransposed

    whether the matrix is transposed. If true, the matrix can be considered Compressed Sparse Row (CSR) format, where colPtrs behaves as rowPtrs, and rowIndices behave as colIndices, and values are stored in row major.

    Annotations
    @Since( "1.3.0" )

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. def apply(i: Int, j: Int): Double

    Gets the (i, j)-th element.

    Gets the (i, j)-th element.

    Definition Classes
    SparseMatrixMatrix
    Annotations
    @Since( "1.3.0" )
  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. val colPtrs: Array[Int]

    the index corresponding to the start of a new column (if not transposed)

    the index corresponding to the start of a new column (if not transposed)

    Annotations
    @Since( "1.2.0" )
  10. def copy: SparseMatrix

    Get a deep copy of the matrix.

    Get a deep copy of the matrix.

    Definition Classes
    SparseMatrixMatrix
    Annotations
    @Since( "1.4.0" )
  11. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  12. def equals(o: Any): Boolean

    Definition Classes
    SparseMatrix → AnyRef → Any
  13. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  17. val isTransposed: Boolean

    whether the matrix is transposed.

    whether the matrix is transposed. If true, the matrix can be considered Compressed Sparse Row (CSR) format, where colPtrs behaves as rowPtrs, and rowIndices behave as colIndices, and values are stored in row major.

    Definition Classes
    SparseMatrixMatrix
    Annotations
    @Since( "1.3.0" )
  18. def multiply(y: Vector): DenseVector

    Convenience method for Matrix-Vector multiplication.

    Convenience method for Matrix-Vector multiplication.

    Definition Classes
    Matrix
    Annotations
    @Since( "1.4.0" )
  19. def multiply(y: DenseVector): DenseVector

    Convenience method for Matrix-DenseVector multiplication.

    Convenience method for Matrix-DenseVector multiplication. For binary compatibility.

    Definition Classes
    Matrix
    Annotations
    @Since( "1.2.0" )
  20. def multiply(y: DenseMatrix): DenseMatrix

    Convenience method for Matrix-DenseMatrix multiplication.

    Convenience method for Matrix-DenseMatrix multiplication.

    Definition Classes
    Matrix
    Annotations
    @Since( "1.2.0" )
  21. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  22. final def notify(): Unit

    Definition Classes
    AnyRef
  23. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  24. def numActives: Int

    Find the number of values stored explicitly.

    Find the number of values stored explicitly. These values can be zero as well.

    Definition Classes
    SparseMatrixMatrix
    Annotations
    @Since( "1.5.0" )
  25. val numCols: Int

    number of columns

    number of columns

    Definition Classes
    SparseMatrixMatrix
    Annotations
    @Since( "1.2.0" )
  26. def numNonzeros: Int

    Find the number of non-zero active values.

    Find the number of non-zero active values.

    Definition Classes
    SparseMatrixMatrix
    Annotations
    @Since( "1.5.0" )
  27. val numRows: Int

    number of rows

    number of rows

    Definition Classes
    SparseMatrixMatrix
    Annotations
    @Since( "1.2.0" )
  28. val rowIndices: Array[Int]

    the row index of the entry (if not transposed).

    the row index of the entry (if not transposed). They must be in strictly increasing order for each column

    Annotations
    @Since( "1.2.0" )
  29. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  30. def toArray: Array[Double]

    Converts to a dense array in column major.

    Converts to a dense array in column major.

    Definition Classes
    Matrix
    Annotations
    @Since( "1.0.0" )
  31. def toDense: DenseMatrix

    Generate a DenseMatrix from the given SparseMatrix.

    Generate a DenseMatrix from the given SparseMatrix. The new matrix will have isTransposed set to false.

    Annotations
    @Since( "1.3.0" )
  32. def toString(maxLines: Int, maxLineWidth: Int): String

    A human readable representation of the matrix with maximum lines and width

    A human readable representation of the matrix with maximum lines and width

    Definition Classes
    Matrix
    Annotations
    @Since( "1.4.0" )
  33. def toString(): String

    A human readable representation of the matrix

    A human readable representation of the matrix

    Definition Classes
    Matrix → AnyRef → Any
  34. def transpose: SparseMatrix

    Transpose the Matrix.

    Transpose the Matrix. Returns a new Matrix instance sharing the same underlying data.

    Definition Classes
    SparseMatrixMatrix
    Annotations
    @Since( "1.3.0" )
  35. val values: Array[Double]

    nonzero matrix entries in column major (if not transposed)

    nonzero matrix entries in column major (if not transposed)

    Annotations
    @Since( "1.2.0" )
  36. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  38. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Matrix

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped