mlsauce  Star
Welcome to mlsauce's website.
mlsauce contains Miscellaneous Statistical/Machine learning stuff. Its source code is available on GitHub. You can read posts about mlsauce in this blog, and for current references, feel free consult the section: References.
Looking for a specific function? You can also use the search function available in the navigation bar.
Installing
Python
 1st method: by using
pip
at the command line for the stable version
pip install mlsauce
 2nd method: from Github, for the development version
pip install git+https://github.com/Techtonique/mlsauce.git
R
 1st method: From Github, in R console:
library(devtools)
devtools::install_github("Techtonique/mlsauce/Rpackage")
library(mlsauce)
Quickstart
 AdaOpt: probabilistic classifier based on a mix of multivariable optimization and a nearest neighbors algorithm
 LSBoost: Gradient Boosted randomized networks using Least Squares
Plus examples of use:

For classification

For regression

Some R examples can be found in this post: https://thierrymoudiki.github.io/blog/#LSBoost
Documentation
The documentation for each model can be found (work in progress) here:

For classifiers

For regressors
Contributing
Want to contribute to mlsauce's development on Github, read this!