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.
- 1st method: by using
pipat 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
- 1st method: From Github, in R console:
library(devtools) devtools::install_github("Techtonique/mlsauce/R-package") library(mlsauce)
- 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:
Some R examples can be found in this post: https://thierrymoudiki.github.io/blog/#LSBoost
The documentation for each model can be found (work in progress) here:
Want to contribute to mlsauce's development on Github, read this!