Mission Statement
DFFML aims to be the easiest and most convenient way to use Machine Learning.
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Its a machine learning distribution. Providing you access to a set of popular machine learning libraries guaranteed to work together.
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Its a AI/ML Python library, command line application, and HTTP service.
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You give it your data and tell it what kind of model you want to train. It creates a model for you.
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If you want finer grained control over the model, you can easily do so by implementing your own model plugin.
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We make it easy to use and deploy your models.
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We provide a directed graph concurrent execution environment with managed locking which we call DataFlows.
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DataFlows make it easy to generate datasets or modify existing datasets for rapid iteration on feature engineering.
Documentation
Documentation for the latest release is hosted at https://intel.github.io/dffml/
Documentation for the master branch is hosted at https://intel.github.io/dffml/master/index.html
Contributing
The contributing page will guide you through getting setup and contributing to DFFML.
Help
- Ask a question via an issue
- Send an email to dffml-users@lists.01.org
- You can subscribe to the users mailing list here https://lists.01.org/postorius/lists/dffml-users.lists.01.org/
- Ask a question on the Gitter chat
License
DFFML is distributed under the MIT License.
Legal
This software is subject to the U.S. Export Administration Regulations and other U.S. law, and may not be exported or re-exported to certain countries (Cuba, Iran, Crimea Region of Ukraine, North Korea, Sudan, and Syria) or to persons or entities prohibited from receiving U.S. exports (including Denied Parties, Specially Designated Nationals, and entities on the Bureau of Export Administration Entity List or involved with missile technology or nuclear, chemical or biological weapons).
4 maintainers
Metadata
4 maintainers
Release files for dffml 0.4.0.post2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dffml-0.4.0.post2.tar.gz | 189.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dffml-0.4.0.post2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 445.4 kB
Release files / dffml-0.4.0.post2.tar.gz
| Download URL | dffml-0.4.0.post2.tar.gz |
|---|---|
| Size | 189.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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Release files / dffml-0.4.0.post2-py3-none-any.whl
| Download URL | dffml-0.4.0.post2-py3-none-any.whl |
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| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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