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...
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...
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...
