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A set of tools in Python for multiscale graph correlation and other statistical tests

Project description

# mgcpy

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`mgcpy` is a Python package containing tools for multiscale graph correlation and other statistical tests, that is capable of dealing with high dimensional and multivariate data.

## Installation Guide:

### Install from PyPi
```
pip3 install mgcpy
```

### Install from Github
```
git clone https://github.com/NeuroDataDesign/mgcpy
cd mgcpy
python3 setup.py install
```
- `sudo`, if required
- `python3 setup.py build_ext --inplace # for cython`, if you want to test in-place, first execute this

## Setting up the development environment:
- Install [docker](https://docs.docker.com/install/)
- Build the docker image, `docker build -t mgcpy-dev:latest .`
- This takes 10 to 15 mins to build
- Launch the container to go into mgcpy's dev env, `docker run -it --rm --name mgcpy-dev-env mgcpy-dev`

## MGC Algorithm's Flow
![MGCPY Flow](MGCPY.png)

## License

This project is covered under the **Apache 2.0 License**.


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Files for mgcpy, version 0.0.3
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