Where to Go Next¶

Never used DataEval before. The Beginner’s Guide walks through the basics of downloading DataEval, setting up your dataset and checking your dataset for duplicates and outliers — no prior DataEval experience needed.

Use the Which Tool Guide to find the right evaluator for your situation, organized by the question you’re trying to answer.

Go straight to the Functional Overview for a quick-reference table of each algorithm’s inputs, outputs, and task applicability.

End-to-end walkthroughs for common T&E tasks. Start here if you want guided practice — each tutorial takes you from a dataset to a decision.

Focused, goal-oriented guides for specific tasks. Start here if you know what you need to do and want the steps without the explanation.

In-depth explanations of the theory behind each evaluator — what it measures, why it matters, and how to interpret what it finds.

Role-specific guidance for data scientists, ML engineers, and T&E engineers, organized around the analysis tasks you encounter day-to-day.

Complete technical documentation for every function and class in DataEval.

Definitions of key terms used throughout the documentation.