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formulaML reference docs

This site is the reference manual for the ML.* custom functions in the formulaML Excel add-in. Every function you can call from a cell — ML.CLASSIFICATION.LOGISTIC, ML.FIT, ML.PREDICT, ML.PIPELINE, and the rest — has its own page here listing its arguments, its return type, and at least one working Excel example.

Where to start

  • New to formulaML? Read Getting started to install the add-in and train your first model.
  • Curious how a cell can hold a Python object? See the Object handles concept page.
  • Building your first model? Read The FIT/PREDICT pattern — every classifier, regressor, and clusterer follows the same three-step workflow.
  • Looking up a specific function? Jump straight to the Reference — namespaces are listed alphabetically.

Where things live

This is a docs site, not the marketing site. If you're looking for:

  • Pricing, screenshots, the install button → formulaml.com
  • Reference pages for every ML.* function → you're in the right place
  • Source code → github.com/oskrgab/xlml (private)

How the reference pages stay in sync

Every reference page is generated from the Python source: function names, parameter descriptions, return types, and icons all come straight from the decorators on each function. Long-form prose and Excel examples come from Markdown sidecars that live next to the code. When a function changes, its reference page changes in the same pull request.