Prepare data for machine learning algorithms by encoding boolean, character, factor, and dates variables to a numeric (or int) representation and save this preparation for future uses (ex : when you'll run your model in real life, you'll have to exactly replicate the original data preparation, and that is where mlprepr shines). You'll also find tools to deal with variables which distribution and/or type is not stable.
|Maintainer||Batiste Roger <[email protected]>|
|Package repository||View on GitHub|
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