scikit-cycling / scikit-cycling

Tools to analyze cycling data

Scikit-cycling

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