Skip to content

mbahmani/chpi

Repository files navigation

CHPI

chpi is clustering part of implementation for paper: "To tune or not to tune? An Approach for Recommending Important Hyperparameters for Classification and Clustering Algorithms"

Software implementation

All source code used to generate the results and figures in the paper are in the chpi folder.

Getting the code

You can download a copy of all the files in this repository by cloning this repo.

git clone https://github.com/DataSystemsGroupUT/chpi

Dependencies

You'll need a working Python environment to run the code. The required dependencies are specified in the file environment.yml.

We use conda virtual environments to manage the project dependencies in isolation. Thus, you can install our dependencies without causing conflicts with your setup (even with different Python versions).

Run the following command in the repository folder (where environment.yml is located) to create a separate environment and install all required dependencies in it:

conda env create -f environment.yml

Reproducing the results

Before running any code you must activate the conda environment:

source activate ENVIRONMENT_NAME

or, if you're on Windows:

activate ENVIRONMENT_NAME

This will enable the environment for your current terminal session. Any subsequent commands will use software that is installed in the environment.

Another way of exploring the code results is to execute the Jupyter notebooks individually. To do this, you must first start the notebook server by going into the repository top level and running:

jupyter notebook

License

All source code is made available under a MIT license. You can freely use and modify the code, without warranty, so long as you provide attribution to the authors. See LICENSE.md for the full license text.

The manuscript text is not open source. The authors reserve the rights to the article content, which is currently submitted for publication.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published