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Gammy documentation
===================
A Generalized additive model is a predictive mathematical model defined as a sum
of terms that are calibrated (fitted) with observation data. This package
provides a hopefully pleasant interface for configuring and fitting such models.
Bayesian interpretation of model parameters and a minimalist set of
features are promoted.
The main idea behind Gammy is to enable `quick` coding of the solution
to most of the day-to-day lightweight linear model estimation problems.
Contents
--------
.. toctree::
installation
features
backlog
api
:maxdepth: 2
Other Python projects with GAM functionalities
##############################################
- `PyGAM `_
- `Statsmodels `_
- `BlinPy `_