https://github.com/zenogantner/PDL-ML

machine learning example code in PDL (Perl Data Language)
https://github.com/zenogantner/PDL-ML

Last synced: 24 days ago
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machine learning example code in PDL (Perl Data Language)

• Host: GitHub
• URL: https://github.com/zenogantner/PDL-ML
• Owner: zenogantner
• Created: 2011-05-09T16:05:52.000Z (about 13 years ago)
• Default Branch: master
• Last Pushed: 2011-06-23T16:07:39.000Z (almost 13 years ago)
• Last Synced: 2024-02-06T19:55:33.286Z (4 months ago)
• Language: Perl
• Homepage:
• Size: 117 KB
• Stars: 14
• Watchers: 5
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README

Lists

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• awesome-machine-learning - used for machine learning
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• awesome-machine-learning - used for machine learning
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• awesome-machine-learning-library - used for machine learning
• awesome-machine-learning - used for machine learning
• awesome-machine-learning - used for machine learning
• awesome-machine-learning - used for machine learning

README

        
Some machine learning algorithms implemented using the Perl Data Language (PDL).

This code serves mainly educational purposes.

It is also incomplete and buggy.

Do not use it for production.

You have been warned.

For each program, the --help option gives usage information.

Example datasets can be downloaded from

http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/

License: GPL 3 or later

stats: 1205 lines

TODO

 - finish the implementations

 - implement (batch) subgradient descent

 - modularize

 - add tests

 - upload to CPAN

 - implement SVR