Learning: The most frequently used machine learning tools

[ bsd3, library, machine-learning, program ] [ Propose Tags ]

Please see the README on Github at https://github.com/masterdezign/Learning#readme

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Versions [RSS] [faq] 0.0.0, 0.0.1, 0.0.2, 0.0.3, 0.1.0
Change log ChangeLog.md
Dependencies base (>=4.7 && <5), containers, hmatrix (>=, Learning, vector [details]
License BSD-3-Clause
Copyright Bogdan Penkovsky
Author Bogdan Penkovsky
Maintainer dev () penkovsky dot com
Category Machine Learning
Home page https://github.com/masterdezign/Learning#readme
Bug tracker https://github.com/masterdezign/Learning/issues
Source repo head: git clone https://github.com/masterdezign/Learning
Uploaded by penkovsky at 2018-02-23T23:57:41Z
Distributions NixOS:0.1.0
Executables learning-pca-advanced, learning-pca
Downloads 2486 total (33 in the last 30 days)
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Status Hackage Matrix CI
Docs available [build log]
Last success reported on 2018-02-24 [all 1 reports]




Maintainer's Corner

For package maintainers and hackage trustees


Readme for Learning-0.0.3

[back to package description]


A Haskell micro library containing the most common machine learning tools.

The name of the package can be interpreted in two ways:

  1. Either as "Learning" in "Machine Learning".
  2. Or "Learning" meaning that examples are written in literate style and can be used to discover machine learning techniques.


  • Supervised learning
    • Ridge regression
    • Linear classifier
  • Evaluation metrics
  • Principal components analysis

Getting Started

Use Stack

 $ git clone https://github.com/masterdezign/Learning.git && cd Learning
 $ stack build --install-ghc

Demo 1: principal components analysis (PCA)

Launch the PCA demo

 $ stack exec learning-pca

Demo 2: advanced PCA

Launch the advanced PCA demo

 $ stack exec learning-pca-advanced

What's next?

Check the documentation or open an issue.