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).
Release files for d3m 2022.5.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| d3m-2022.5.5.tar.gz | 291.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| d3m-2022.5.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 606.5 kB
Release files / d3m-2022.5.5.tar.gz
| Download URL | d3m-2022.5.5.tar.gz |
|---|---|
| Size | 291.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / d3m-2022.5.5-py3-none-any.whl
| Download URL | d3m-2022.5.5-py3-none-any.whl |
|---|---|
| Size | 315.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
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