Preprocess Data and Get Better Insights from Machine Learning Models

The main focus is on preprocessing and data visualization of machine learning models performances. Some functions allow to fill gaps in time series using linear interpolation on panel data, some functions permit to draw lift effect and lift curves in order to benchmark machine learning models or you can even find the optimal number of clusters in agglomerative clustering algorithm.


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install.packages("helda")

0.9.1 by Simon Corde, 24 days ago


https://www.github.com/Redcart/helda


Report a bug at https://github.com/Redcart/helda/issues


Browse source code at https://github.com/cran/helda


Authors: Simon Corde [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, ggplot2, sqldf, stringr, rlang, stats

Suggests devtools, testthat, covr


See at CRAN