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Peng Meng
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docs/ml-guide.md

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@@ -61,7 +61,7 @@ To configure `netlib-java` / Breeze to use system optimised binaries, include
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project and read the [netlib-java](https://github.com/fommil/netlib-java) documentation for your
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platform's additional installation instructions.
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Some popular native BLAS (e.g. Intel MKL, OpenBLAS) are based on multi-threading, which will conflict with Spark.
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The most popular native BLAS such as [Intel MKL](https://software.intel.com/en-us/mkl), OpenBLAS, are based on multi-threading, which will conflict with Spark.
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To use multi-threading based native BLAS, you must set it to use single thread first (SPARK-21305).
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To use MLlib in Python, you will need [NumPy](http://www.numpy.org) version 1.4 or newer.

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