org.apache.spark.mllib.linalg

Class BLAS

java.lang.Object

org.apache.spark.mllib.linalg.BLAS

public class BLAS
extends java.lang.Object

BLAS routines for MLlib's vectors and matrices.

Constructor Summary

Constructors

Constructor and Description
BLAS()

Method Summary

Methods

Modifier and Type	Method and Description
static void	axpy(double a, Vector x, Vector y) y += a * x
static void	copy(Vector x, Vector y) y = x
static double	dot(Vector x, Vector y) dot(x, y)
static void	gemm(double alpha, Matrix A, DenseMatrix B, double beta, DenseMatrix C) C := alpha * A * B + beta * C
static void	gemv(double alpha, Matrix A, Vector x, double beta, DenseVector y) y := alpha * A * x + beta * y
protected static void	initializeLogIfNecessary(boolean isInterpreter)
protected static boolean	isTraceEnabled()
protected static org.slf4j.Logger	log()
protected static void	logDebug(scala.Function0<java.lang.String> msg)
protected static void	logDebug(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
protected static void	logError(scala.Function0<java.lang.String> msg)
protected static void	logError(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
protected static void	logInfo(scala.Function0<java.lang.String> msg)
protected static void	logInfo(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
protected static java.lang.String	logName()
protected static void	logTrace(scala.Function0<java.lang.String> msg)
protected static void	logTrace(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
protected static void	logWarning(scala.Function0<java.lang.String> msg)
protected static void	logWarning(scala.Function0<java.lang.String> msg, java.lang.Throwable throwable)
static void	scal(double a, Vector x) x = a * x
static void	spr(double alpha, Vector v, DenseVector U) Adds alpha * v * v.t to a matrix in-place.
static void	spr(double alpha, Vector v, double[] U) Adds alpha * v * v.t to a matrix in-place.
static void	syr(double alpha, Vector x, DenseMatrix A) A := alpha * x * x^T^ + A

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BLAS

public BLAS()

Method Detail

axpy

public static void axpy(double a,
        Vector x,
        Vector y)

y += a * x

Parameters:

a - (undocumented)

x - (undocumented)

y - (undocumented)

dot

public static double dot(Vector x,
         Vector y)

dot(x, y)

Parameters:

x - (undocumented)

y - (undocumented)

Returns:

(undocumented)

copy

public static void copy(Vector x,
        Vector y)

y = x

Parameters:

x - (undocumented)

y - (undocumented)

scal

public static void scal(double a,
        Vector x)

x = a * x

Parameters:

a - (undocumented)

x - (undocumented)

spr

public static void spr(double alpha,
       Vector v,
       DenseVector U)

Adds alpha * v * v.t to a matrix in-place. This is the same as BLAS's ?SPR.

Parameters:

U - the upper triangular part of the matrix in a DenseVector(column major)

alpha - (undocumented)

v - (undocumented)

spr

public static void spr(double alpha,
       Vector v,
       double[] U)

Adds alpha * v * v.t to a matrix in-place. This is the same as BLAS's ?SPR.

Parameters:

U - the upper triangular part of the matrix packed in an array (column major)

alpha - (undocumented)

v - (undocumented)

syr

public static void syr(double alpha,
       Vector x,
       DenseMatrix A)

A := alpha * x * x^T^ + A

Parameters:

alpha - a real scalar that will be multiplied to x * x^T^.

x - the vector x that contains the n elements.

A - the symmetric matrix A. Size of n x n.

gemm

public static void gemm(double alpha,
        Matrix A,
        DenseMatrix B,
        double beta,
        DenseMatrix C)

C := alpha * A * B + beta * C

Parameters:

alpha - a scalar to scale the multiplication A * B.

A - the matrix A that will be left multiplied to B. Size of m x k.

B - the matrix B that will be left multiplied by A. Size of k x n.

beta - a scalar that can be used to scale matrix C.

C - the resulting matrix C. Size of m x n. C.isTransposed must be false.

gemv

public static void gemv(double alpha,
        Matrix A,
        Vector x,
        double beta,
        DenseVector y)

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

Parameters:

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.

logName

protected static java.lang.String logName()

log

protected static org.slf4j.Logger log()

logInfo

protected static void logInfo(scala.Function0<java.lang.String> msg)

logDebug

protected static void logDebug(scala.Function0<java.lang.String> msg)

logTrace

protected static void logTrace(scala.Function0<java.lang.String> msg)

logWarning

protected static void logWarning(scala.Function0<java.lang.String> msg)

logError

protected static void logError(scala.Function0<java.lang.String> msg)

logInfo

protected static void logInfo(scala.Function0<java.lang.String> msg,
           java.lang.Throwable throwable)

logDebug

protected static void logDebug(scala.Function0<java.lang.String> msg,
            java.lang.Throwable throwable)

logTrace

protected static void logTrace(scala.Function0<java.lang.String> msg,
            java.lang.Throwable throwable)

logWarning

protected static void logWarning(scala.Function0<java.lang.String> msg,
              java.lang.Throwable throwable)

logError

protected static void logError(scala.Function0<java.lang.String> msg,
            java.lang.Throwable throwable)

isTraceEnabled

protected static boolean isTraceEnabled()

initializeLogIfNecessary

protected static void initializeLogIfNecessary(boolean isInterpreter)