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Statsmodels glm example

In R, you can obtained as estimate of the shape using 1/dispersion (check this post).The naming of the dispersion estimate in statsmodels is a unfortunately scale. So you did to take the reciprocal of this to get the shape estimate. I show it with an example below:.

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So I sample one hundred elements of df and split the sampled set into train and test sets. Then I decide to write. mod = smf.glm (formula="O ~ A + B + D + C (X) + C (Y) + C (Z)", data=train, family=sm.families.Tweedie (var_power=1.5)) mod = mod.fit () result = mod.predict (exog=test [exo]) But wait! It turns out that the possible value "yellow. Example: GAM in statsmodels. GitHub Gist: instantly share code, notes, and snippets. Example: GAM in statsmodels. GitHub Gist: instantly share code, notes, and snippets. ... The full GAM features are currently only implemented for GLM, but a generic penalized MLE framework can use it for any type of models that directly minimize the negative.

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Sandbox: statsmodels contains a sandbox folder with code in various stages of development and testing which is not considered "production ready". This covers among others. Generalized method of moments (GMM) estimators. Kernel regression. Various extensions to scipy.stats.distributions.

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StatsModels Documentation. This package provides common abstractions and utilities for specifying, fitting, and evaluating statistical models. The goal is to provide an API for package developers implementing different kinds of statistical models (see the GLM package for example), and utilities that are generally useful for both users and developers when dealing.

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