org.apache.spark.mllib.linalg

Matrix

sealed trait Matrix extends Serializable

Trait for a local matrix.

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Abstract Value Members

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

    Gets the (i, j)-th element.

  2. abstract def copy: Matrix

    Get a deep copy of the matrix.

  3. abstract def numCols: Int

    Number of columns.

  4. abstract def numRows: Int

    Number of rows.

  5. abstract def transpose: Matrix

    Transpose the Matrix.

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

Concrete Value Members

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

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

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  3. final def ##(): Int

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  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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  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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  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.

  15. def multiply(y: DenseVector): DenseVector

    Convenience method for Matrix-DenseVector multiplication.

  16. def multiply(y: DenseMatrix): DenseMatrix

    Convenience method for Matrix-DenseMatrix multiplication.

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. def toArray: Array[Double]

    Converts to a dense array in column major.

  22. def toString(): String

    A human readable representation of the matrix

    A human readable representation of the matrix

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

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

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  25. final def wait(arg0: Long): Unit

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