Welcome to the Resources section. Here you will find some resources that will help you get started with the challenge.
We invite you to relive our Machine Learning Workshop where we learned alternative ways of building baselines to get started with the challenge.
You can either go over the session video or directly access the code we are releasing (copy and paste is allowed!). We hope you find this content useful to build your machine learning solution!
We hope you find this content useful to build your machine learning solution!
Being able to score your experiments locally, without the need to make a submission to the leaderboard is crucial for the dynamics of iteration that the modellying stage of a Machine Learning problem requires.
For this reason, we are releasing an NDCG scorer that replicates the ndcg implementation of the leaderboard scorer and it’s very easy to use. You only need to download the .py file and import it where you’re working, then you’re ready to score your submission!
If you need a more detailed explanation of how to use the score function, please follow the instructions in this notebook.