Gustavo Maia

Is it possible to use this module for regression problems?

1

I see all the example notebooks use classification problems, and the glassbox models are for classification as well. Are the blackbox explainers able to explain regression models like [RandomForestRegressor](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html), [XGBoostRegressor](https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.XGBRegressor)...

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Python parameters to get the result found using the UI

2

Is it possible to get the input parameters obtained by using the UI to later use it on a camelot python script to get the same result?

Can't clone LinearGAM estimator object for sklearn cross-validation

7

# 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...

Please add a TemplateRegressor example in the `skltemplate/_template.py`

can't install umap-learn in python 3.10.2

4

When I add `umap-learn` using Poetry it finds the requirements versions as: ``` • Installing llvmlite (0.34.0) • Installing numba (0.51.2) ``` But fails to install numba as the first...