Re: MLlib linking error Mac OS X
This is my error: 14/10/17 10:24:56 WARN BLAS: Failed to load implementation from: com.github.fommil.netlib.NativeSystemBLAS 14/10/17 10:24:56 WARN BLAS: Failed to load implementation from: com.github.fommil.netlib.NativeRefBLAS However, it seems to work. What does it means? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLlib-linking-error-Mac-OS-X-tp588p16791.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: MLlib linking error Mac OS X
I'm getting the same warning on my mac. Accompanied by what appears to be pretty low CPU usage (http://apache-spark-user-list.1001560.n3.nabble.com/mlib-model-build-and-low-CPU-usage-td16777.html), I wonder if they are connected? I've used jblas on a mac several times, it always just works perfectly with zero setup. Maybe the warning is misleading. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLlib-linking-error-Mac-OS-X-tp588p16806.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: MLlib linking error Mac OS X
MLlib relies on breeze for much of its linear algebra, which in turn relies on netlib-java. netlib-java will attempt to load a native BLAS at runtime and then attempt to load it's own precompiled version. Failing that, it will default back to a Java version that it has built in. The Java version can be about as fast as a native version for certain operations that are tricky to optimize (like vector dot products), but MUCH slower for things like matrix/matrix multiply. Luckily - the code will still work without the native libraries installed, it will just be slower in some situations. So, you can safely ignore the warnings if all you care about is correctness. The MLlib docs (https://spark.apache.org/docs/latest/mllib-guide.html) provide guidance about how to link against the native libraries in your application - this will make the warning messages go away and might speed up your program. - Evan On Oct 20, 2014, at 3:54 AM, npomfret nick-nab...@snowmonkey.co.uk wrote: I'm getting the same warning on my mac. Accompanied by what appears to be pretty low CPU usage (http://apache-spark-user-list.1001560.n3.nabble.com/mlib-model-build-and-low-CPU-usage-td16777.html), I wonder if they are connected? I've used jblas on a mac several times, it always just works perfectly with zero setup. Maybe the warning is misleading. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLlib-linking-error-Mac-OS-X-tp588p16806.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: MLlib linking error Mac OS X
Hello MLnick, Have you found a solution on how to install MLlib for Mac OS ? I have also some trouble to install the dependencies. Best, poiuytrez -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLlib-linking-error-Mac-OS-X-tp588p16668.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
