shap

I trained models on Windows, then I tried to use them on Linux, however, I could not load them due to an incorrect path joining. During model loading, I got learner_path in the following format experiments_dir/model_1/100_LightGBM\\learner_fold_0.lightgbm. The last two slashes were incorrectly concatenated with the rest part of the path. In this regard, I would suggest adding something like `l

Recently dtreeviz has added support for lightgbm models: https://github.com/parrt/dtreeviz/

So it would be cool to add the same tree visualization in explainerdashboard that already exist for RandomForest, ExtraTrees and XGBoost models.

If someone wants to pitch in to help extract individual predictions of decision trees inside lightgbm boosters and then get them in shape to be used by the

Catboost has a little bit different api and currently EarlyStoppingShapRFECV throw a error, if I tried to use it:

TypeError: fit() got an unexpected keyword argument 'eval_metric'

Users don't know what chance they need to get into universities of their choice.

Minimum chance neede to get into some top universities.

Feature originally suggested by naveen_v on fastai forums