HiDN a ML pipeline for sparse high dimensional data

This project contains code to analyse high dimensional data.

Introduction

Here we implement different pipelines for classification/regression of high dimensional data with small sample size.

Requirements

sklearn, numpy, scipy

Installation

Provide clear instructions on how to get your development environment running.

pip install -r requirements.txt

Usage

Assuming the dependencies are installed, describe how to run the code from command line.

python main.py

Features

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Contributing

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Tests

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python -m unittest discover tests

Inform users about the license under which you’re providing the project.

MIT License
Copyright (c) [2023] [A. Mahrach]

Credits

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