explainerdashboard
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oegedijk
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Hello, great tool and library! Wonder if you can point me in the right direction to solve an issue? - with LightGbm we can list the categorical column and it...
Hello, Im wondering if there is a opportunity to cusomize the parameters that are shown in the Feature Input Component. I would like to hide some parameters, or rearrange some...
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...
I am creating a catboost model using the following ``` Cat_features_names = [0,1] clf = CatBoostClassifier(iterations = 50, random seed = 42, learning_rate = 0.1) clf.fit(X_train, y_train, cat_features = cat_features_names,...
Hello, I am experiencing an issue with high RAM usage when running ExplainerDashboard for a `VotingClassifier` ensemble model. The model is trained on a 2k dataset with 400 features in...
added copy to any predict or predict_proba call to only pass definitiv copies. fixed issue when categorical features have nan as values, a crash occurs added the option to allow...
From the code  I built an explainer dashboard, which includes the following outputs: The underlying problem is one of multiclassification, with classes 0, 1 and 2. The model used...
