Class/Object

org.apache.spark.ml.linalg

DenseMatrix

Related Docs: object DenseMatrix | package linalg

Permalink

class DenseMatrix extends Matrix

Column-major dense matrix. The entry values are stored in a single array of doubles with columns listed in sequence. For example, the following matrix

1.0 2.0
3.0 4.0
5.0 6.0

is stored as [1.0, 3.0, 5.0, 2.0, 4.0, 6.0].

Annotations
@Since( "2.0.0" )
Source
Matrices.scala
Linear Supertypes
Matrix, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. DenseMatrix
  2. Matrix
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new DenseMatrix(numRows: Int, numCols: Int, values: Array[Double])

    Permalink

    Column-major dense matrix.

    Column-major dense matrix. The entry values are stored in a single array of doubles with columns listed in sequence. For example, the following matrix

    1.0 2.0
    3.0 4.0
    5.0 6.0

    is stored as [1.0, 3.0, 5.0, 2.0, 4.0, 6.0].

    numRows

    number of rows

    numCols

    number of columns

    values

    matrix entries in column major

    Annotations
    @Since( "2.0.0" )
  2. new DenseMatrix(numRows: Int, numCols: Int, values: Array[Double], isTransposed: Boolean)

    Permalink

    numRows

    number of rows

    numCols

    number of columns

    values

    matrix entries in column major if not transposed or in row major otherwise

    isTransposed

    whether the matrix is transposed. If true, values stores the matrix in row major.

    Annotations
    @Since( "2.0.0" )

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

    Permalink
    Definition Classes
    AnyRef → Any
  4. def apply(i: Int, j: Int): Double

    Permalink

    Gets the (i, j)-th element.

    Gets the (i, j)-th element.

    Definition Classes
    DenseMatrixMatrix
  5. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  6. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def colIter: Iterator[Vector]

    Permalink

    Returns an iterator of column vectors.

    Returns an iterator of column vectors. This operation could be expensive, depending on the underlying storage.

    Definition Classes
    DenseMatrixMatrix
  8. def copy: DenseMatrix

    Permalink

    Get a deep copy of the matrix.

    Get a deep copy of the matrix.

    Definition Classes
    DenseMatrixMatrix
  9. final def eq(arg0: AnyRef): Boolean

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

    Permalink
    Definition Classes
    DenseMatrix → AnyRef → Any
  11. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    DenseMatrix → AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  15. val isTransposed: Boolean

    Permalink

    whether the matrix is transposed.

    whether the matrix is transposed. If true, values stores the matrix in row major.

    Definition Classes
    DenseMatrixMatrix
  16. def multiply(y: Vector): DenseVector

    Permalink

    Convenience method for Matrix-Vector multiplication.

    Convenience method for Matrix-Vector multiplication.

    Definition Classes
    Matrix
    Annotations
    @Since( "2.0.0" )
  17. def multiply(y: DenseVector): DenseVector

    Permalink

    Convenience method for Matrix-DenseVector multiplication.

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

    Definition Classes
    Matrix
    Annotations
    @Since( "2.0.0" )
  18. def multiply(y: DenseMatrix): DenseMatrix

    Permalink

    Convenience method for Matrix-DenseMatrix multiplication.

    Convenience method for Matrix-DenseMatrix multiplication.

    Definition Classes
    Matrix
    Annotations
    @Since( "2.0.0" )
  19. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  20. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  21. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  22. def numActives: Int

    Permalink

    Find the number of values stored explicitly.

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

    Definition Classes
    DenseMatrixMatrix
  23. val numCols: Int

    Permalink

    number of columns

    number of columns

    Definition Classes
    DenseMatrixMatrix
    Annotations
    @Since( "2.0.0" )
  24. def numNonzeros: Int

    Permalink

    Find the number of non-zero active values.

    Find the number of non-zero active values.

    Definition Classes
    DenseMatrixMatrix
  25. val numRows: Int

    Permalink

    number of rows

    number of rows

    Definition Classes
    DenseMatrixMatrix
    Annotations
    @Since( "2.0.0" )
  26. def rowIter: Iterator[Vector]

    Permalink

    Returns an iterator of row vectors.

    Returns an iterator of row vectors. This operation could be expensive, depending on the underlying storage.

    Definition Classes
    Matrix
    Annotations
    @Since( "2.0.0" )
  27. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  28. def toArray: Array[Double]

    Permalink

    Converts to a dense array in column major.

    Converts to a dense array in column major.

    Definition Classes
    Matrix
    Annotations
    @Since( "2.0.0" )
  29. def toSparse: SparseMatrix

    Permalink

    Generate a SparseMatrix from the given DenseMatrix.

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

    Annotations
    @Since( "2.0.0" )
  30. def toString(maxLines: Int, maxLineWidth: Int): String

    Permalink

    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( "2.0.0" )
  31. def toString(): String

    Permalink

    A human readable representation of the matrix

    A human readable representation of the matrix

    Definition Classes
    Matrix → AnyRef → Any
  32. def transpose: DenseMatrix

    Permalink

    Transpose the Matrix.

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

    Definition Classes
    DenseMatrixMatrix
  33. val values: Array[Double]

    Permalink

    matrix entries in column major if not transposed or in row major otherwise

    matrix entries in column major if not transposed or in row major otherwise

    Annotations
    @Since( "2.0.0" )
  34. final def wait(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Matrix

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Members