Open source software for E-Discovery and Information Retrieval
Project description
Open Source Software for E-Discovery and Information Retrieval
FreeDiscovery is built on top of existing machine learning libraries (scikit-learn) and provides REST web services for information retrieval applications. It aims to benefit existing e-discovery platforms with a focus on the following functionality,
text categorization
document clustering
duplicate detection
semantic search
e-mail threading
In addition, FreeDiscovery can be used as Python package and aims to expose a scikit-learn compatible API.
We would very much appreciate feedback on the existing functionality. Feel free to open new issues on Github or send any comments to the mailing list https://groups.google.com/forum/#!forum/freediscovery-ml at freediscovery-ml@googlegroups.com.
For more information see the documentation and API Reference,
development version [master branch | documentation https://freediscovery.github.io/doc/dev/ ].
stable version 0.9 [0.9.X branch | documentation https://freediscovery.github.io/doc/stable/ ].
FreeDiscovery is released under the 3-clause BSD licence.
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
Built Distribution
Hashes for freediscovery-0.9.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c3cac457a01d145329500532a8fd487d6b89bb622e0dfdd276f9d8293db7bbc4 |
|
MD5 | 79cbca9b4c2d65a1db7f882689bf6a83 |
|
BLAKE2b-256 | fcf683c1bcab195c6f4926eb7f89c2a27d9339e0571b77023576ac6247fdb156 |