Installation and contribution

Prerequisites

klib requires the following dependencies:

  • python >= 3.7
  • matplotlib >= 2.1.2
  • numpy >= 1.13.3
  • pandas >= 1.1.0
  • scikit-learn >= 0.23
  • seaborn >= 0.11.1

Install

Use the package manager pip to install klib:

PyPI Version

pip install klib
pip install --upgrade klib

Alternatively, to install this package with conda run:

Conda Version

conda install -c conda-forge klib

You can also fork/clone the repository 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/akanz1/klib.git
cd into package root dir
pip install .

Or install directly from GitHub using pip:

pip install -U git+https://github.com/akanz1/klib.git

Contribute

Pull requests and ideas, especially for further functions and visualizations are welcome. For major changes or feedback, please open an issue first to discuss what you would like to change.