Learning: The most frequently used machine learning tools

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




Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees


  • No Candidates
Versions [RSS] 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 2018-02-26T20:07:06Z
Reverse Dependencies 1 direct, 0 indirect [details]
Executables learning-pca-advanced, learning-pca
Downloads 2888 total (13 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs available [build log]
Last success reported on 2018-02-26 [all 1 reports]

Readme for Learning-0.1.0

[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.