A Haskell micro library containing the most common machine learning tools.
The name of the package can be interpreted in two ways:
- Either as "Learning" in "Machine Learning".
- 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
$ 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