MDeltaX / Learning

Evaluation metrics and other machine learning tools for Haskell

Learning

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.

Features

• 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.