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scikit-learn_bench

Benchmark for optimizations to scikit-learn in the Intel(R) Distribution for Python*. See benchmark results here.

Prerequisites

  • python and scikit-learn to run python versions
  • icc, ifort, mkl, daal to compile and run native benchmarks

Automatically build and run

  • Run make. This will generate data, compile benchmarks, and run them.
    • To run only scikit-learn benchmarks, use make sklearn.
    • To run only native benchmarks, use make native.
    • To run only daal4py benchmarks, use make daal4py.
    • To run a specific implementation of a specific benchmark, directly request the corresponding file: make output/<impl>/<bench>.out.
    • If you have activated a conda environment, the build will use daal from the conda environment, if available.

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Benchmark for optimizations to scikit-learn in the Intel Distribution for Python*

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  • C++ 53.3%
  • Fortran 26.2%
  • Python 16.2%
  • Makefile 2.2%
  • C 2.1%