8 Modeling

Modeling covers the following:

• Datasets: Explore data, engineer features, and monitor data drifts.
• Model Libraries: Manage python libraries to create and use models.
• Model Techniques: Manage techniques and algorithms from registered model libraries.
• Model Catalog: A centralized hub for all your machine learning models.
• Pipelines: Design, deploy and govern end-to-end machine learning pipelines for seamless model development.
• Graphs: Analyze complex relationships within your data through interactive graph representations.