Dependencies

Runtime dependencies

Mandatory dependencies

When installing through a package manager like pip or conda, the mandatory dependencies are automatically installed. This list is mainly for reference.

numpy>=1.19.3 pandas scikit-learn deap imblearn scikit-fuzzy matplotlib

• Python (>= 3.9)

• NumPy (>= 1.19)

• pandas

• setuptools

• scikit-learn

• scikit-fuzzy

• deap

• imbalanced-learn

• matplotlib

Additional dependencies for testing

This section lists the additional software required for running the tests.

Required:

• pytest (>=3.6)

Optional:

• pytest-cov (>=2.3.1) to collect coverage information

• pytest-flake8 to test coding standards using flake8

• pytest-xdist to run tests in parallel

Additional dependencies for building documentation

Python packages

The additional Python packages required to build the documentation are listed in /docs/requirements.txt and can be installed using

pip install -r docs/requirements.txt

The content of requirements.txt is also shown below:

pydata-sphinx-theme>=0.8.1
Sphinx>=5.0.0
sphinx_design>=0.1.0
numpy>=1.19.3
pandas
scikit-learn
deap
imblearn
matplotlib
scikit-fuzzy @ git+https://github.com/scikit-fuzzy/scikit-fuzzy