Learn how to create, train, evaluate, and publish a model using a recipe made with the JupyterLab recipe builder notebook.
In Adobe Experience Platform Data Science Workspace, a machine learning Model is created by incorporating an existing recipe that is appropriate for the model’s intent. The model is then trained and evaluated to optimize its operating efficiency and efficacy by fine-tuning its associated Hyperparameters. Recipes are reusable, meaning that multiple Models can be created and tailored to specific purposes with a single recipe.
This video is part of a course, Getting Started with Data Science Workspace for Data Scientists, available for free on Experience League!