scikit-cycling

A set of python modules for cyclist using powermeters.


Keywords
data-mining, machine-learning, pattern-recognition, scikit-cycling, visualization
License
BSD-3-Clause
Install
pip install scikit-cycling==0.1.3

Documentation

Scikit-cycling

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Installation

Dependencies

Scikit-cycling requires:

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

Installation

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

pip install -U scikit-cycling

The package is release also in conda-forge:

conda install -c conda-forge scikit-cycling

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-cycling/scikit-cycling.git
cd scikit-cycling
pip install .

Or install using pip and GitHub:

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