org.apache.spark.mllib.linalg

DenseMatrix

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].

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@Since( "1.0.0" ) @SQLUserDefinedType()
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Matrix, Serializable, Serializable, AnyRef, Any
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  2. Matrix
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Instance Constructors

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

    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)

    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: 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
    DenseMatrix → Matrix
    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. def copy: DenseMatrix

    Get a deep copy of the matrix.

    Get a deep copy of the matrix.

    Definition Classes
    DenseMatrix → Matrix
    Annotations
    @Since( "1.4.0" )

  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  11. def equals(o: Any): Boolean

    Definition Classes
    DenseMatrix → AnyRef → Any

  12. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  13. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

    Definition Classes
    DenseMatrix → AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  16. val isTransposed: Boolean

    whether the matrix is transposed.

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

    Definition Classes
    DenseMatrix → Matrix
    Annotations
    @Since( "1.3.0" )

  17. 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" )

  18. 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" )

  19. 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" )

  20. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  21. final def notify(): Unit

    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  23. 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
    DenseMatrix → Matrix
    Annotations
    @Since( "1.5.0" )

  24. val numCols: Int

    number of columns

    number of columns

    Definition Classes
    DenseMatrix → Matrix
    Annotations
    @Since( "1.0.0" )

  25. def numNonzeros: Int

    Find the number of non-zero active values.

    Find the number of non-zero active values.

    Definition Classes
    DenseMatrix → Matrix
    Annotations
    @Since( "1.5.0" )

  26. val numRows: Int

    number of rows

    number of rows

    Definition Classes
    DenseMatrix → Matrix
    Annotations
    @Since( "1.0.0" )

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

    Definition Classes
    AnyRef

  28. 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" )

  29. def toSparse: SparseMatrix

    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" )

  30. 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" )

  31. def toString(): String

    A human readable representation of the matrix

    A human readable representation of the matrix

    Definition Classes
    Matrix → AnyRef → Any

  32. def transpose: DenseMatrix

    Transpose the Matrix.

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

    Definition Classes
    DenseMatrix → Matrix
    Annotations
    @Since( "1.3.0" )

  33. val values: Array[Double]

    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" )

  34. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  35. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  36. 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

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