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Contents:

  • Quick Start
    • Install pyGAM
      • Pip
      • Conda
      • Bleeding edge
      • Get pandas and matplotlib
    • Fit a Model
    • Automatically tune the model
    • Partial Dependence Functions
  • A Tour of pyGAM
    • Introduction
    • Generalized Additive Models, in general
      • Distribution:
      • Link function:
      • Functional Form:
      • in Practice…
    • Terms and Interactions
    • Regression
    • Classification
    • Poisson and Histogram Smoothing
    • Expectiles
    • Custom Models
    • Penalties / Constraints
    • API
    • Current Features
      • Models
      • Terms
      • Distributions
      • Link Functions
      • Callbacks
      • Linear Extrapolation
    • References
  • User API
    • Generalized Additive Model Classes
      • GAM
      • LinearGAM
      • GammaGAM
      • InvGaussGAM
      • LogisticGAM
      • PoissonGAM
      • ExpectileGAM
    • Terms
      • Linear Term
      • Spline Term
      • Factor Term
      • Tensor Term
  • Developer API
    • Terms
    • Distributions
    • Links
    • Callbacks
    • Penalties
pyGAM
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  • Developer API
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Developer API¶

  • Terms
  • Distributions
  • Links
  • Callbacks
  • Penalties
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© Copyright 2018, Daniel Servén and Charlie Brummitt Revision b57b4cf8.

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