org.apache.spark.ml.linalg.mleap

BLAS

object BLAS

BLAS public interface to the private mllib-local BLAS.

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def axpy(a: Double, x: Vector, y: Vector): Unit

    y += a * x

  8. def axpy(a: Double, X: DenseMatrix, Y: DenseMatrix): Unit

  9. def clone(): AnyRef

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  10. def dot(v1: Vector, v2: Vector): Double

    Calculate dot product of two vectors.

    Calculate dot product of two vectors.

    v1

    vector 1

    v2

    vector 2

    returns

    dot product

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

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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  14. def gemv(alpha: Double, A: Matrix, x: Vector, beta: Double, y: DenseVector): Unit

    y := alpha * A * x + beta * y

    y := alpha * A * x + beta * y

    alpha

    a scalar to scale the multiplication A * x.

    A

    the matrix A that will be left multiplied to x. Size of m x n.

    x

    the vector x that will be left multiplied by A. Size of n x 1.

    beta

    a scalar that can be used to scale vector y.

    y

    the resulting vector y. Size of m x 1.

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

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def scal(a: Double, x: Vector): Unit

    x = a * x

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

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  23. def toString(): String

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  24. final def wait(): Unit

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

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

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