recipes
Preprocessing and Feature Engineering Steps for Modeling
A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
- Version1.1.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release07/04/2024
Documentation
Team
Max Kuhn
MaintainerShow author detailsHadley Wickham
Show author detailsRolesAuthorEmil Hvitfeldt
Posit Software, PBC
Insights
Last 30 days
This package has been downloaded 214,235 times in the last 30 days. That's a whole lot of downloads. Somewhere, a librarian is trying to figure out why more bandwidth is needed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5,142 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,881,598 times in the last 365 days. Perhaps it's time to consider hiring a personal assistant to manage the newfound fame. That's an absurd number of downloads. The day with the most downloads was Mar 26, 2025 with 11,034 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Binaries
Dependencies
- Depends1 package
- Imports19 packages
- Suggests19 packages
- Reverse Depends6 packages
- Reverse Imports30 packages
- Reverse Suggests32 packages