Modeling

The Modeling component contains the following features:

• Datasets: Explore data, engineer features and monitor data drifts.
• Model Libraries: Manage python libraries for model creation and usage.
• Model Techniques: Manage techniques and algorithms from registered model libraries.
• Model Catalog: 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.

For more details, see Modeling section.