API for vip
Variable Importance Plots

Global functions
abbreviate_names Source code
check_var_fun Source code
firm Source code
gen_friedman Man page Source code
get_feature_names Man page Source code
get_feature_names.BinaryTree Source code
get_feature_names.C5.0 Source code
get_feature_names.H2OBinomialModel Source code
get_feature_names.H2OMultinomialModel Source code
get_feature_names.H2ORegressionModel Source code
get_feature_names.Learner Source code
get_feature_names.RandomForest Source code
get_feature_names.WrappedModel Source code
get_feature_names.cforest Source code
get_feature_names.constparty Source code
get_feature_names.cubist Source code
get_feature_names.cv.glmnet Source code
get_feature_names.default Source code
get_feature_names.earth Source code
get_feature_names.formula Source code
get_feature_names.gbm Source code
get_feature_names.glmnet Source code
get_feature_names.lm Source code
get_feature_names.multnet Source code
get_feature_names.mvr Source code
get_feature_names.nls Source code
get_feature_names.nn Source code
get_feature_names.nnet Source code
get_feature_names.ppr Source code
get_feature_names.randomForest Source code
get_feature_names.ranger Source code
get_feature_names.rpart Source code
get_feature_names.train Source code
get_feature_names.xgb.Booster Source code
get_formula Source code
get_formula.constparty Source code
get_formula.default Source code
get_metric Source code
get_training_data Source code
get_training_data.BinaryTree Source code
get_training_data.H2OBinomialModel Source code
get_training_data.H2OMultinomialModel Source code
get_training_data.H2ORegressionModel Source code
get_training_data.RandomForest Source code
get_training_data.default Source code
get_training_data.train Source code
get_training_data.workflow Source code
list_metrics Man page Source code
sort_importance_scores Source code
titanic Man page
titanic_mice Man page
vi Man page Source code
vi.default Man page Source code
vi_firm Man page Source code
vi_firm.default Man page Source code
vi_model Man page Source code
vi_model.C5.0 Man page Source code
vi_model.H2OBinomialModel Man page Source code
vi_model.H2OMultinomialModel Man page Source code
vi_model.H2ORegressionModel Man page Source code
vi_model.Learner Man page Source code Source code
vi_model.RandomForest Man page Source code
vi_model.WrappedModel Man page Source code Source code
vi_model.cforest Man page Source code
vi_model.constparty Man page Source code
vi_model.cubist Man page Source code
vi_model.cv.glmnet Man page Source code
vi_model.default Man page Source code
vi_model.earth Man page Source code
vi_model.gbm Man page Source code
vi_model.glmnet Man page Source code
vi_model.lgb.Booster Man page Source code
vi_model.lm Man page Source code
vi_model.mixo_pls Man page Source code Source code
vi_model.mixo_spls Man page
vi_model.ml_model_decision_tree_classification Man page Source code
vi_model.ml_model_decision_tree_regression Man page Source code
vi_model.ml_model_gbt_classification Man page Source code
vi_model.ml_model_gbt_regression Man page Source code
vi_model.ml_model_generalized_linear_regression Man page Source code
vi_model.ml_model_linear_regression Man page Source code
vi_model.ml_model_random_forest_classification Man page Source code
vi_model.ml_model_random_forest_regression Man page Source code
vi_model.mlp Man page Source code
vi_model.model_fit Man page Source code
vi_model.mvr Man page Source code
vi_model.nn Man page Source code
vi_model.nnet Man page Source code
vi_model.randomForest Man page Source code
vi_model.ranger Man page Source code
vi_model.rpart Man page Source code
vi_model.train Man page Source code
vi_model.workflow Man page Source code
vi_model.xgb.Booster Man page Source code
vi_permute Man page Source code
vi_permute.default Man page Source code
vi_shap Man page Source code
vi_shap.default Man page Source code
vip Man page Source code
vip.Learner Man page Source code
vip.WrappedModel Man page Source code
vip.default Man page Source code
vip.model_fit Man page Source code
vip.workflow Man page Source code
vip documentation built on Aug. 21, 2023, 5:12 p.m.