pyGAM
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dswah
[HELP REQUESTED] Generalized Additive Models in Python
LogisticGAM.predict_proba() not consistent with sklearn since it does not return a two-dimensional array. I got around this issue by defining a new derived class: ``` class myGAM(LogisticGAM): def predict_proba(self, X):...
# Bug Can't use LinearGAM with ScikitLearn [cross_validate](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html) as it get's a RuntimeError for not being able to [clone](https://scikit-learn.org/stable/modules/generated/sklearn.base.clone.html) the model. The only estimator out of all the GAM options...
`callbacks` argument to be passed to `LinearGAM`'s `super().__init__()` call. This basically addresses issue #291 regarding cloning LinearGAM estimator with sklearn functions, like `cross_validate`.
I have been trying to install pygam from source using flit, as indicated in the docs, but I am unable to do so. I have been running the following (from...
Hi, thanks for the great package Unfortunately, I couldn't fully understand the difference between prediction intervals and partial dependence when I have a model of: y~s(0) meaning only one feature....
we dont need to us `np.zeros(...)` to initialize an empty sparse matrix (since this would also defeat the purpose)
I am new to GAM and pyGAM. I read documentation carefully but need help with someone experienced in pyGAM for some questions. I have a dataset with around 40 features....
Hello, Is there a plan to output p-values or f-stats to the individual predictors? Thanks!
Hi! I want to save summary of my model somehow in file or variable. Is there any way I can do this? Thanks!
