Uniform interface for machine learning in Julia
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README.md

PredictMD - Uniform interface for machine learning in Julia

Website: https://www.predictmd.net

PredictMD is a free and open-source Julia package that provides a uniform interface for machine learning.

To install PredictMD, open Julia (e.g. open a terminal, type julia, and press enter) and run the following command:

Pkg.clone("https://github.com/bcbi/PredictMD.jl")

Please submit any issues related to PredictMD to the issue tracker: https://github.com/bcbi/PredictMD.jl/issues

Table of Contents
1. Installation
2. Documentation
3. Citing
4. Related Repositories
5. Contributing
6. Stronghold
7. Repository Status
8. CI/CD

Installation

PredictMD requires Julia version 0.7.

To install PredictMD, open Julia (e.g. open a terminal, type julia, and press enter) and run the following command:

Pkg.clone("https://github.com/bcbi/PredictMD.jl")

After you install PredictMD, you should run the test suite to make sure that everything is working. You can run the test suite with the following Julia command:

Pkg.test("PredictMD")

Documentation

The PredictMD documentation contains useful information, including instructions for use, example code, and a description of PredictMD's internals.

Citing

If you use PredictMD in research, please cite the software using the following DOI:

Related Repositories

Contributing

If you would like to contribute to the PredictMD source code, please read the instructions in CONTRIBUTING.md.

Stronghold

If you are using PredictMD inside the Stronghold secure computing environment, please read the instructions in STRONGHOLD.md.

Repository Status

Project Status: Active – The project has reached a stable, usable state and is being actively developed.

CI/CD

master (stable) develop (latest)
Travis CI
AppVeyor CI
CodeCov
docs