Skip to main content

AlphaD3M: NYU's AutoML System

Project description

PyPI version

AlphaD3M is an AutoML system that automatically searches for models and derives end-to-end pipelines that read, pre-process the data, and train the model. AlphaD3M leverages recent advances in deep reinforcement learning and is able to adapt to different application domains and problems through incremental learning.

AlphaD3M provides data scientists and data engineers the flexibility to address complex problems by leveraging the Python ecosystem, including open-source libraries and tools, support for collaboration, and infrastructure that enables transparency and reproducibility.

This repository is part of New York University's implementation of the Data Driven Discovery project (D3M).

Documentation is available here.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

alphad3m-containers-0.24.0.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

alphad3m_containers-0.24.0-py3-none-any.whl (7.4 kB view details)

Uploaded Python 3

File details

Details for the file alphad3m-containers-0.24.0.tar.gz.

File metadata

  • Download URL: alphad3m-containers-0.24.0.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.49.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12

File hashes

Hashes for alphad3m-containers-0.24.0.tar.gz
Algorithm Hash digest
SHA256 feddb5c76625f6df9181c1094937709ed908fa9bb364e775d6a39037f94711d2
MD5 25b7d61d4ad2d7261c6f14db6152611e
BLAKE2b-256 3f3b2db42d679797c8b0cf2a63b8112af892659902d8e9c20d323d528f193890

See more details on using hashes here.

File details

Details for the file alphad3m_containers-0.24.0-py3-none-any.whl.

File metadata

  • Download URL: alphad3m_containers-0.24.0-py3-none-any.whl
  • Upload date:
  • Size: 7.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.49.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12

File hashes

Hashes for alphad3m_containers-0.24.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ec9523b08372c76be3bce6cdaaf61ea2c59872a88378995749407899734a536b
MD5 925cb17103e72aa8558b9789b7f5645e
BLAKE2b-256 6ead2732a8714ae79fc25bf43359a9d6b11a6c3fd035f4b64627f0f68b0de4a6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page