d3m 2022.5.5

project

Common code for D3M project

This package provides a core package for D3M project with common code available. It contains standard interfaces, reference implementations, and utility implementations.

Installation

This package works with Python 3.6-3.8 and pip 19+.

You can install latest stable version from PyPI:

$ pip3 install d3m

To install the latest development version:

$ pip3 install -e git+https://gitlab.com/datadrivendiscovery/d3m.git@devel#egg=d3m

When cloning the repository, clone it recursively to get also git submodules:

$ git clone --recursive https://gitlab.com/datadrivendiscovery/d3m.git

Changelog

See HISTORY.md for a summary of changes between versions of this package.

Documentation

The documentation for the package is available at https://datadrivendiscovery.org/.

Contributing

See CODE_STYLE.md for our coding style and contribution guide. Please ensure any merge requests you open follow this guide.

Repository structure

master branch contains latest stable release of the package. devel branch is a staging branch for the next release.

Releases are tagged.

About the Data Driven Discovery of Models Program

DARPA's Data Driven Discovery of Models (D3M) Program is researching ways to get machines to build machine learning pipelines automatically. It is split into three layers: TA1 (primitives), TA2 (systems which combine primitives automatically into pipelines and executes them), and TA3 (end-users interfaces).