The Learning package

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

Please see the README on Github at

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Versions 0.0.0, 0.0.1, 0.0.2
Change log
Dependencies base (>=4.7 && <5), containers, hmatrix (>=, Learning, vector [details]
License BSD3
Copyright Bogdan Penkovsky
Author Bogdan Penkovsky
Maintainer dev at penkovsky [dot] com
Category Machine Learning
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Source repo head: git clone
Uploaded Thu Feb 15 16:20:57 UTC 2018 by penkovsky
Distributions NixOS:0.0.1
Executables learning-pca-advanced, learning-pca
Downloads 77 total (77 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2018-02-16 [all 3 reports]
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  • Learning


Maintainer's Corner

For package maintainers and hackage trustees

Readme for Learning-0.0.2

[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 && cd Learning
 $ stack build --install-ghc

Demo 1: principal components analysis (PCA)

Launch the PCA demo

 $ stack exec learning-pca

Demo 2: advanced principal components analysis (PCA)

Launch the advanced PCA demo

 $ stack exec learning-pca-advanced

What's next?

Check the documentation or open an issue.