Wrap Up: Scoring Basics¶
You’ve just completed Scoring Basics where you gained experience in applying prediction models to unseen data in Dataiku. Here are a few of the main takeaways from this course:
You learned the workflow for deploying a trained model from the Lab to the Flow.
You saw why it was important for the labelled and unlabelled data to have the exact same features and how it can be done in Dataiku.
You used the Score recipe to generate predictions for unlabelled data.
You saw how a validation set and the Evaluate recipe can be key tools for managing the active version of a model.