In this blog, we’d like to describe in detail the main function of the forester package called the train(). We will focus on showing you how particular steps work and how the user can shape the training process. The concept of the package is described ...

Photo by Louis Droege on UnsplashIn this blog, we’d like to introduce you to the use case example of the forester package. We will present a package usage scenario with a real-life story in the background. It will also include code examples, outcome an...

In this blog, we’d like to delve into more details about the package’s features than in the previous post introducing the new version of the forester package. We will underline what makes the package special among other AutoML solutions in R.The forest...

In this blog, we’d like to introduce you to the brand new, reorganised and restructured version of the forester R package.Package’s historyResponsible ML readers might already be familiar with the package’s name and possibly wonder why we are describin...

FairPAN — bringing fairness to neural networksMotivationWith the ongoing development of XAI methods, we — data scientists have to take more and more responsibility for the behaviour of our models. It means that we should no longer care only about what ...