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Scikit-sports

https://travis-ci.org/GoldenCheetah/scikit-sports.svg?branch=master https://ci.appveyor.com/api/projects/status/tei5gfnma8uxf7u8?svg=true Documentation Status

Installation

Dependencies

Scikit-sports requires:

  • scipy
  • numpy
  • pandas
  • six
  • fit-parse
  • joblib
  • scikit-learn

Installation

scikit-sports is currently available on the PyPi’s reporitories and you can install it via pip:

pip install -U scikit-sports

The package is release also in conda-forge:

conda install -c conda-forge scikit-sports

If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from Github and install all dependencies:

git clone https://github.com/scikit-sports/scikit-sports.git
cd scikit-sports
pip install .

Or install using pip and GitHub:

pip install -U git+https://github.com/scikit-sports/scikit-sports.git

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  • Python 93.3%
  • Shell 6.7%