Guides

Read these in order

• Quickstart: fit a CALM on a synthetic problem, read the model card and the ledger, plot the curves
• A real dataset: Bike Sharing, with a DataFrame and categorical columns, down to one prediction

Going deeper

• How it works: the three steps behind fit, and what the numbers mean
• Choosing the knobs: which setting for which situation

Reference

• Examples: the scripts these guides are built from
• API Docs: every class and function