Class/Object

org.apache.spark.mllib.linalg

DenseMatrix

Related Docs: object DenseMatrix | package linalg

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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( "1.0.0" ) @SQLUserDefinedType()
Source
Matrices.scala
Linear Supertypes
Matrix, Serializable, Serializable, AnyRef, Any
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  1. DenseMatrix
  2. Matrix
  3. Serializable
  4. Serializable
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Instance Constructors

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

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    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( "1.0.0" )
  2. new DenseMatrix(numRows: Int, numCols: Int, values: Array[Double], isTransposed: Boolean)

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    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( "1.3.0" )

Value Members

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

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

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

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

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    Gets the (i, j)-th element.

    Gets the (i, j)-th element.

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

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    Definition Classes
    Any
  6. def asML: ml.linalg.DenseMatrix

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    Convert this matrix to the new mllib-local representation.

    Convert this matrix to the new mllib-local representation. This does NOT copy the data; it copies references.

    Definition Classes
    DenseMatrixMatrix
    Annotations
    @Since( "2.0.0" )
  7. def clone(): AnyRef

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

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    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
    Annotations
    @Since( "2.0.0" )
  9. def copy: DenseMatrix

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    Get a deep copy of the matrix.

    Get a deep copy of the matrix.

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

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

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

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

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

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

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    Definition Classes
    Any
  16. val isTransposed: Boolean

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    whether the matrix is transposed.

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

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

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    Convenience method for Matrix-Vector multiplication.

    Convenience method for Matrix-Vector multiplication.

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

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    Convenience method for Matrix-DenseVector multiplication.

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

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

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    Convenience method for Matrix-DenseMatrix multiplication.

    Convenience method for Matrix-DenseMatrix multiplication.

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

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

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

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    Definition Classes
    AnyRef
  23. def numActives: Int

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    Find the number of values stored explicitly.

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

    Definition Classes
    DenseMatrixMatrix
    Annotations
    @Since( "1.5.0" )
  24. val numCols: Int

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    number of columns

    number of columns

    Definition Classes
    DenseMatrixMatrix
    Annotations
    @Since( "1.0.0" )
  25. def numNonzeros: Int

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    Find the number of non-zero active values.

    Find the number of non-zero active values.

    Definition Classes
    DenseMatrixMatrix
    Annotations
    @Since( "1.5.0" )
  26. val numRows: Int

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    number of rows

    number of rows

    Definition Classes
    DenseMatrixMatrix
    Annotations
    @Since( "1.0.0" )
  27. def rowIter: Iterator[Vector]

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    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" )
  28. final def synchronized[T0](arg0: ⇒ T0): T0

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

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    Converts to a dense array in column major.

    Converts to a dense array in column major.

    Definition Classes
    Matrix
    Annotations
    @Since( "1.0.0" )
  30. def toSparse: SparseMatrix

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    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( "1.3.0" )
  31. def toString(maxLines: Int, maxLineWidth: Int): String

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    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" )
  32. def toString(): String

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    A human readable representation of the matrix

    A human readable representation of the matrix

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

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    Transpose the Matrix.

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

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

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    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( "1.0.0" )
  35. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Matrix

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped