pyGAM is a package for building Generalized Additive Models in Python, with an emphasis on modularity and performance. GAM · A Tour of pyGAM · LogisticGAM · LinearGAM

Generalized Additive Models allow for penalized estimation of smooth terms in generalized linear models. See Module Reference for commands and arguments.

10 июн. 2024 г. · Generalized additive models provide a powerful and flexible approach to modeling non-linear relationships while maintaining interpretability.

A GAM is a statistical model in which the target variable depends on unknown smooth functions of the features, and interest focuses on inference about these ...

GAMs extend generalized linear models by allowing non-linear functions of features while maintaining additivity.

21 дек. 2018 г. · In this article, you'll see how to build generalized additive models in Python, and how to use its partial dependence functions to inspect the contribution of ...

GAM explains the landscape of neural network predictions across subpopulations. This implementation is based on Global Explanations for Neural Networks.

You can use pyGAM, a python library that can estimate Generalized Additive Models (GAMs) — a class of very flexible models ...

10 мая 2024 г. · On Windows, you need to install Git to use the pip command. Scroll down to Install Git. You can install GAM as a Python library with pip.

A Generalized Additive Model (GAM) is a type of Generalized Linear Model (GLM) where the linear predictor has a linear relationship with predictor variables.