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Naive discriminative learning implements learning and classification models based on the Rescorla-Wagner equations.

Project description

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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.

Installation

The easiest way to install pyndl is using pip:

pip install --user pyndl

For more information have a look at the Installation Guide.

Documentation

pyndl uses sphinx to create a documentation manual. The documentation is hosted on Read the Docs.

Getting involved

The pyndl project welcomes help in the following ways:

For more information on how to contribute to pyndl have a look at the development section.

Authors and Contributers

pyndl was mainly developed by Konstantin Sering, Marc Weitz, David-Elias Künstle and Lennart Schneider. For the full list of contributers have a look at Github’s Contributor summary.

Currently, it is maintained by Konstantin Sering and Marc Weitz.

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Filename, size & hash SHA256 hash help File type Python version Upload date
pyndl-0.6.1.tar.gz (536.6 kB) Copy SHA256 hash SHA256 Source None

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