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helda: 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 in gaps in time series using linear interpolation on panel data, some functions permit to draw lift effect and lift curve in order to benchmark machine learning models or you can even find the optimal number of clusters in agglomerative clustering algorithm.
Getting started
Browse package contents
Package details |
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| Author | Simon Corde [aut, cre] |
| Maintainer | Simon Corde <simon.corde@hotmail.fr> |
| License | GPL-3 |
| Version | 1.1.5 |
| URL | https://github.com/Redcart/helda |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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