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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.

Type Size Name Uploaded Downloads Labels
conda 855.6 kB | win-64/r-recipes-0.1.0-r342h383f9f7_0.tar.bz2  5 years and 5 months ago 165 main
conda 855.4 kB | win-32/r-recipes-0.1.0-r342hf1e8da5_0.tar.bz2  5 years and 5 months ago 24 main
conda 825.5 kB | osx-64/r-recipes-0.1.0-r342h9fa1523_0.tar.bz2  5 years and 5 months ago 58 main
conda 824.8 kB | linux-64/r-recipes-0.1.0-r342h0924b81_0.tar.bz2  5 years and 5 months ago 340 main
conda 824.8 kB | linux-32/r-recipes-0.1.0-r342h11a73ec_0.tar.bz2  5 years and 5 months ago 27 main

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