Yes, at this point I believe you'll find jblas used for historical reasons,
to not change some APIs. I don't believe it's used for much if any
computation in 1.4.
On May 8, 2015 5:04 PM, "John Niekrasz" <john.niekr...@gmail.com> wrote:
> Newbie question...
>
> Can I use any of the main ML capabilities of MLlib in a Java-only
> environment, without any native library dependencies?
>
> According to the documentation, java-netlib provides a JVM fallback. This
> suggests that native netlib libraries are not required.
>
> It appears that such a fallback is not available for jblas. However, a
> quick
> look at the MLlib source suggests that MLlib's dependencies on jblas are
> rather isolated:
>
> > grep -R jblas
> main/scala/org/apache/spark/ml/recommendation/ALS.scala:import
> org.jblas.DoubleMatrix
> main/scala/org/apache/spark/mllib/optimization/NNLS.scala:import
> org.jblas.{DoubleMatrix, SimpleBlas}
>
> main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala:import
> org.jblas.DoubleMatrix
> main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala:import
> org.jblas.DoubleMatrix
> main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala:
> org.jblas.util.Random.seed(42)
> main/scala/org/apache/spark/mllib/util/MFDataGenerator.scala:import
> org.jblas.DoubleMatrix
> main/scala/org/apache/spark/mllib/util/SVMDataGenerator.scala:import
> org.jblas.DoubleMatrix
>
> Is it true or false that many of MLlib's capabilities will work perfectly
> fine without any native (non-Java) libraries installed at all?
>
> Thanks for the help,
> John
>
>
>
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