zeromh
zeromh
The error is in `PermutationImportance.fit` when using `cv=KFold` or some other sklearn splitter. sklearn splitters return the *location indexes* (i.e. `iloc`) of the rows, whereas `PermutationImportance.fit` [is treating these as...
Currently, `PermutationImportance.results_` is a "list of score decreases for all experiments." If you have, for example, `n_iter=3` and 5-fold CV, then you have 15 experiments. A first issue with this...
In the section on Multiple Treatments: Splitting Criteria in Rzepakowski 2012 (_Decision trees for uplift modeling with single and multiple treatments_), the authors describe parameters α, λ, and γ for...
Hi team, are you aware of any guarantees regarding Uplift Forest calibration, or familiar with any methods for calibrating the `causalml` Uplift Forest estimators? The context here is that I...
According to the README, it should be possible to use code like the following to calculate shapley values and create a waterfall plot using a `sklearn` classifier: ``` import shap...