Variable Importance Plots
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Documentation for package ‘vip’ version 0.3.2
Help Pages
| add_sparklines | Add sparklines |
| add_sparklines.vi | Add sparklines |
| gen_friedman | Friedman benchmark data |
| get_formula | Extract model formula |
| list_metrics | List metrics |
| metric_accuracy | Model metrics |
| metric_auc | Model metrics |
| metric_error | Model metrics |
| metric_logLoss | Model metrics |
| metric_mae | Model metrics |
| metric_mauc | Model metrics |
| metric_mse | Model metrics |
| metric_rmse | Model metrics |
| metric_rsquared | Model metrics |
| metric_sse | Model metrics |
| vi | Variable importance |
| vi.default | Variable importance |
| vi.Learner | Variable importance |
| vi.model_fit | Variable importance |
| vi.WrappedModel | Variable importance |
| vint | Interaction effects |
| vip | Variable importance plots |
| vip.default | Variable importance plots |
| vip.model_fit | Variable importance plots |
| vi_firm | Variance-based variable importance |
| vi_firm.default | Variance-based variable importance |
| vi_ice | Deprecated |
| vi_model | Model-specific variable importance |
| vi_model.C5.0 | Model-specific variable importance |
| vi_model.cforest | Model-specific variable importance |
| vi_model.constparty | Model-specific variable importance |
| vi_model.cubist | Model-specific variable importance |
| vi_model.cv.glmnet | Model-specific variable importance |
| vi_model.default | Model-specific variable importance |
| vi_model.earth | Model-specific variable importance |
| vi_model.gbm | Model-specific variable importance |
| vi_model.glmnet | Model-specific variable importance |
| vi_model.H2OBinomialModel | Model-specific variable importance |
| vi_model.H2OMultinomialModel | Model-specific variable importance |
| vi_model.H2ORegressionModel | Model-specific variable importance |
| vi_model.Learner | Model-specific variable importance |
| vi_model.lm | Model-specific variable importance |
| vi_model.mlp | Model-specific variable importance |
| vi_model.ml_model_decision_tree_classification | Model-specific variable importance |
| vi_model.ml_model_decision_tree_regression | Model-specific variable importance |
| vi_model.ml_model_gbt_classification | Model-specific variable importance |
| vi_model.ml_model_gbt_regression | Model-specific variable importance |
| vi_model.ml_model_generalized_linear_regression | Model-specific variable importance |
| vi_model.ml_model_linear_regression | Model-specific variable importance |
| vi_model.ml_model_random_forest_classification | Model-specific variable importance |
| vi_model.ml_model_random_forest_regression | Model-specific variable importance |
| vi_model.model_fit | Model-specific variable importance |
| vi_model.mvr | Model-specific variable importance |
| vi_model.nn | Model-specific variable importance |
| vi_model.nnet | Model-specific variable importance |
| vi_model.RandomForest | Model-specific variable importance |
| vi_model.randomForest | Model-specific variable importance |
| vi_model.ranger | Model-specific variable importance |
| vi_model.rpart | Model-specific variable importance |
| vi_model.train | Model-specific variable importance |
| vi_model.WrappedModel | Model-specific variable importance |
| vi_model.xgb.Booster | Model-specific variable importance |
| vi_pdp | Deprecated |
| vi_permute | Permutation-based variable importance |
| vi_permute.default | Permutation-based variable importance |
| vi_shap | SHAP-based variable importance |
| vi_shap.default | SHAP-based variable importance |