Efficient Vector multiplication in Java

[UNM]

Hi Team,

My requirement is to multiply two vectors element wise. Here's the code I've written but I am not able to make it work because I don't know what to do with "UFunc.UImpl2" and I am also not sure whether I am using the right function or not. Can any one help please.

Thanks in advance,

UNM

//Original Vector and Weight Vector init
org.apache.spark.ml.linalg.Vector rowVec=Vectors.dense(2.0, 5.0, 10.0);
org.apache.spark.ml.linalg.Vector wtVec=Vectors.dense(1.0, 2.0, 0.5);

//Converting to Breeze
breeze.linalg.Vector brzRowVector= rowVec.asBreeze();
breeze.linalg.Vector brzWeightVector= wtVec.asBreeze();

//Multiply the Original Vector with Weight Vector
org.apache.spark.ml.linalg.Vector updRowVector = (org.apache.spark.ml.linalg.Vector)
        brzRowVector.$colon$times(brzWeightVector, new UFunc.UImpl2() {
            @Override
            public Object apply(Object v, Object o) {
                return null;
            }
        });

//updRowVectorhould return {2.0, 10.0, 5.0}

[David Hall]

Breeze really isn't designed to be used from Java. You can do it, but it's not going to be any better than just writing a loop yourself most of the time.

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[UNM]

Thanks David for the reply. But I am wondering how do we do these vector operations  like subtraction, addition etc efficiently on Spark.

On Monday, June 5, 2017 at 10:42:09 PM UTC+5:30, David Hall wrote:

Breeze really isn't designed to be used from Java. You can do it, but it's not going to be any better than just writing a loop yourself most of the time.

On Mon, Jun 5, 2017 at 8:27 AM, UNM <umesh...@gmail.com> wrote:

Hi Team,

My requirement is to multiply two vectors element wise. Here's the code I've written but I am not able to make it work because I don't know what to do with "UFunc.UImpl2" and I am also not sure whether I am using the right function or not. Can any one help please.

Thanks in advance,

UNM

//Original Vector and Weight Vector init
org.apache.spark.ml.linalg.Vector rowVec=Vectors.dense(2.0, 5.0, 10.0);
org.apache.spark.ml.linalg.Vector wtVec=Vectors.dense(1.0, 2.0, 0.5);

//Converting to Breeze
breeze.linalg.Vector brzRowVector= rowVec.asBreeze();
breeze.linalg.Vector brzWeightVector= wtVec.asBreeze();

//Multiply the Original Vector with Weight Vector
org.apache.spark.ml.linalg.Vector updRowVector = (org.apache.spark.ml.linalg.Vector)
        brzRowVector.$colon$times(brzWeightVector, new UFunc.UImpl2() {
            @Override
            public Object apply(Object v, Object o) {
                return null;
            }
        });

//updRowVectorhould return {2.0, 10.0, 5.0}

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[David Hall]

I really can't help you unless you're using spark from Scala. You might look into mtj which is a Java library that provides similar functionality.

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