Blog Archives

One Recipe Step to Rule Them All

In this post I will demonstrate, how my new R package customsteps can be used to create recipe steps, that apply custom transformations to a data set. Note, you should already be fairly familiar with the recipes package before you continue reading this post or give customsteps a spin! Recommended music for this reading session: Introducing the customsteps package Along with the recipes...

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Tuning a data preprocessing pipeline with recipes and modelgrid

Tuning a data preprocessing pipeline with recipes and modelgrid

In this post I will demonstrate, how the modelgrid package can be used to facilitate experiments with the data preprocessing pipeline of a predictive model. Data preprocessing - an integral part of a model configuration Model tuning is not just a matter of tuning the hyperparameters of an algorithm. Since data preprocessing is also an integral part of the model development...

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modelgrid – a framework for creating, managing and training multiple models

modelgrid – a framework for creating, managing and training multiple models

modelgrid is a new package of mine, which has just made its way on to CRAN. modelgrid offers a minimalistic but very flexible framework to create, manage and train a portfolio of caret models. Note, you should already be fairly familiar with the caret package before giving modelgrid a spin. Below I describe the key concept behind modelgrid as well...

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