@hackage Learning0.1.0
The most frequently used machine learning tools
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License
BSD-3-Clause
Maintainer
dev () penkovsky dot com
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Installation
Dependencies (4)
- base >=4.7 && <5
- containers
- hmatrix >=0.18.0.0
- vector Show all…
Dependents (1)
@hackage/rc
Learning
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.
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.