tidylab/tidy.preparation: Implement a Data Pipeline that Ingests, Prepares, Stores and Crafts Features
`tidy.preparation` provides R6 classes for implementing a unidirectional data pipeline that starts with any data source whether it’s on a remote server or local disk. At the output of the instantiated pipeline are amendable data, ready for consumption by multiple predictive analytics applications such as analytical models and reports.
Getting started
Browse package contents
Package details |
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| Maintainer | Harel Lustiger <tidylab@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.20.01 |
| URL | https://tidylab.github.io/tidy.preparation/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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