README.md

In EmilHvitfeldt/horus: Visual Tools To Help Machine Learning model Selection

horus

WIP – Very early build, things are very likely to change – WIP

The goal of horus is to allow quick visualization methods for common machine learning and modeling tasks. This project is hugely inspired by the Python library yellowbrick.

Installation

For the time being horus is only available on Github, and can be installed with devtools:

# install.packages('devtools')
devtools::install_github('EmilHvitfeldt/horus')

In the future the package will be available on CRAN as well.

Example

There is no reason why a principal component plot of a data set should be as hard as it currently is in R. Using horus it is down to a single line!

library(horus)
viz_pca(iris, Species)

Advanced Gallary

Random Forrest variability Visualization

EmilHvitfeldt/horus documentation built on June 12, 2021, 7 p.m.