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 pyndlFor 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:
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.
Release files for pyndl 1.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyndl-1.2.4.tar.gz | 38.1 kB | Without provenance | Details for pyndl-1.2.4.tar.gz |
Release files / pyndl-1.2.4.tar.gz
| Download URL | pyndl-1.2.4.tar.gz |
|---|---|
| Size | 38.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ddc054054e7e2a2624bcedc22730e4304581d2fde036a5271777c063c5a53d39
|
|
BLAKE2b-256 checksum How to use checksums |
31776fee0df83709b5dd844b15dfba774900c4952785539807b409f890e58ea1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.0 CPython/3.12.12 Linux/6.11.0-1018-azure
|
Security for pyndl 1.2.4
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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