org.apache.spark.mllib.linalg

Matrix

sealed trait Matrix extends Serializable

Trait for a local matrix.

Annotations
@SQLUserDefinedType() @Since( "1.0.0" )
Source
Matrices.scala
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Serializable, Serializable, AnyRef, Any
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Abstract Value Members

  1. abstract def apply(i: Int, j: Int): Double

    Gets the (i, j)-th element.

    Gets the (i, j)-th element.

    Annotations
    @Since( "1.3.0" )
  2. abstract def copy: Matrix

    Get a deep copy of the matrix.

    Get a deep copy of the matrix.

    Annotations
    @Since( "1.2.0" )
  3. abstract def numActives: Int

    Find the number of values stored explicitly.

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

    Annotations
    @Since( "1.5.0" )
  4. abstract def numCols: Int

    Number of columns.

    Number of columns.

    Annotations
    @Since( "1.0.0" )
  5. abstract def numNonzeros: Int

    Find the number of non-zero active values.

    Find the number of non-zero active values.

    Annotations
    @Since( "1.5.0" )
  6. abstract def numRows: Int

    Number of rows.

    Number of rows.

    Annotations
    @Since( "1.0.0" )
  7. abstract def transpose: Matrix

    Transpose the Matrix.

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

    Annotations
    @Since( "1.3.0" )

Concrete Value Members

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

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

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  3. final def ##(): Int

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

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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. val isTransposed: Boolean

    Flag that keeps track whether the matrix is transposed or not.

    Flag that keeps track whether the matrix is transposed or not. False by default.

    Annotations
    @Since( "1.3.0" )
  15. def multiply(y: Vector): DenseVector

    Convenience method for Matrix-Vector multiplication.

    Convenience method for Matrix-Vector multiplication.

    Annotations
    @Since( "1.4.0" )
  16. def multiply(y: DenseVector): DenseVector

    Convenience method for Matrix-DenseVector multiplication.

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

    Annotations
    @Since( "1.2.0" )
  17. def multiply(y: DenseMatrix): DenseMatrix

    Convenience method for Matrix-DenseMatrix multiplication.

    Convenience method for Matrix-DenseMatrix multiplication.

    Annotations
    @Since( "1.2.0" )
  18. final def ne(arg0: AnyRef): Boolean

    Definition Classes
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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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

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  22. def toArray: Array[Double]

    Converts to a dense array in column major.

    Converts to a dense array in column major.

    Annotations
    @Since( "1.0.0" )
  23. 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

    Annotations
    @Since( "1.4.0" )
  24. def toString(): String

    A human readable representation of the matrix

    A human readable representation of the matrix

    Definition Classes
    Matrix → AnyRef → Any
  25. final def wait(): Unit

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    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  27. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

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