Naive discriminative learning implements learning and classification models based on the Rescorla-Wagner equations.
pyndl is an implementation of Naive Discriminative Learning in Python. It was created to analyse huge amounts of text file corpora. Especially, it allows to efficiently apply the Rescorla-Wagner learning rule to these corpora.
The easiest way to install pyndl is using pip:
pip install --user pyndl
For more information have a look at the Installation Guide.
pyndl uses sphinx to create a documentation manual. The documentation is hosted on Read the Docs.
The pyndl project welcomes help in the following ways:
- Making Pull Requests for code, tests or documentation.
- Commenting on open issues and pull requests.
- Helping to answer questions in the issue section.
- Creating feature requests or adding bug reports in the issue section.
For more information on how to contribute to pyndl have a look at the development section.
This research was supported by an ERC advanced Grant (no. 742545) and by the Alexander von Humboldt Professorship awarded to R. H. Baayen and by the University of Tübingen.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size pyndl-0.8.1.tar.gz (505.6 kB)||File type Source||Python version None||Upload date||Hashes View|