Hubert Baniecki

(Note to self) I would like to add this feature into `dalex` but the `AggregatedProfiles` explanation object has no information about the `data` attribute from `Explainer`. I am unsure whether...

It is not implemented

Hi, Python `dalex` doesn't support `multiclass` overall. For it to work (in Feature Importance) you have to pass a custom `predict_function` to the `Explainer` and a custom `loss_function` to the...

Sure, I just don't like the parameter name of `predidct_function_target_column` and am unsure about how to update all the `yhat` functions to utilize that.

Example https://dalex.drwhy.ai/python-dalex-multioutput added in https://github.com/ModelOriented/DALEX-docs/commit/47378806fa9d32b612fb84adb46640638956ede7.

We don't support multi-output models yet. You can adjust the `predict_function` to produce `iBreakDown` plots for a given class. ```python import dalex as dx from sklearn.datasets import make_regression from sklearn.tree...

Example https://dalex.drwhy.ai/python-dalex-multioutput added in https://github.com/ModelOriented/DALEX-docs/commit/47378806fa9d32b612fb84adb46640638956ede7.

Answer: They broke.

What is the verbose output from the Explainer? [](https://dalex.drwhy.ai/python-dalex-multioutput.html)

Thanks, it is required to pass `predict_function` to the Explainer, which inputs (model, pandas.DataFrame) and outputs a 1d numpy array. An example for the `xgboost` package is available at https://dalex.drwhy.ai/python-dalex-xgboost.html....