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).
2 maintainers
Release files for alphad3m 0.24.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| alphad3m-0.24.0.tar.gz | 1.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| alphad3m-0.24.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.1 MB
Release files / alphad3m-0.24.0.tar.gz
| Download URL | alphad3m-0.24.0.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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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
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Release files / alphad3m-0.24.0-py3-none-any.whl
| Download URL | alphad3m-0.24.0-py3-none-any.whl |
|---|---|
| Size | 1.6 MB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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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
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