Installation, testing and development

Dependencies

pyts requires:

• Python (>= 3.5)
• NumPy (>= 1.15.4)
• SciPy (>= 1.1.0)
• Scikit-Learn (>=0.20.1)
• Numba (>0.41.0)

To run the examples Matplotlib (>=2.0.0) is required.

User installation

If you already have a working installation of numpy, scipy, scikit-learn and numba, you can easily install pyts using pip:

pip install pyts

or conda via the conda-forge channel:

conda install -c conda-forge pyts

You can also get the latest version of pyts by cloning the repository:

git clone https://github.com/johannfaouzi/pyts.git
cd pyts
pip install .

Testing

After installation, you can launch the test suite from outside the source directory using pytest:

pytest pyts

Development

The development of this package is in line with the one of the scikit-learn community. Therefore, you can refer to their Development Guide. A slight difference is the use of Numba instead of Cython for optimization.