Speak for the Trees
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Documentation for package ‘lorax’ version 0.2.0
Help Pages
| active_predictors | Extract the active features from a tree |
| active_predictors.bagger | Extract the active features from a tree |
| active_predictors.bart | Extract the active features from a tree |
| active_predictors.C5.0 | Extract the active features from a tree |
| active_predictors.catboost.Model | Extract the active features from a tree |
| active_predictors.cforest | Extract the active features from a tree |
| active_predictors.cubist | Extract the active features from a tree |
| active_predictors.grf | Extract the active features from a tree |
| active_predictors.lgb.Booster | Extract the active features from a tree |
| active_predictors.model_fit | Methods for tidymodels objects |
| active_predictors.ObliqueForest | Extract the active features from a tree |
| active_predictors.party | Extract the active features from a tree |
| active_predictors.randomForest | Extract the active features from a tree |
| active_predictors.ranger | Extract the active features from a tree |
| active_predictors.rpart | Extract the active features from a tree |
| active_predictors.workflow | Methods for tidymodels objects |
| active_predictors.xgb.Booster | Extract the active features from a tree |
| as.party.bagger | Convert a bagged tree to a party object |
| as.party.bart | Convert BART model to party object |
| as.party.C5.0 | Convert C5.0 model to party object |
| as.party.catboost.Model | Convert catboost model to party object |
| as.party.grf | Convert grf model to party object |
| as.party.lgb.Booster | Convert lgb.Booster model to party object |
| as.party.model_fit | Methods for tidymodels objects |
| as.party.randomForest | Convert randomForest model to party object |
| as.party.ranger | Convert ranger model to party object |
| as.party.workflow | Methods for tidymodels objects |
| as.party.xgb.Booster | Convert xgb.Booster model to party object |
| combine_rule_elements | Combine multiple R expressions into a single composite expression |
| extract_rules | Extract an expression that defines a path to a terminal node |
| extract_rules.bagger | Extract an expression that defines a path to a terminal node |
| extract_rules.bart | Extract rules from a BART model |
| extract_rules.C5.0 | Extract an expression that defines a path to a terminal node |
| extract_rules.catboost.Model | Extract rules from a catboost model |
| extract_rules.cforest | Extract an expression that defines a path to a terminal node |
| extract_rules.cubist | Extract rules from a Cubist model |
| extract_rules.grf | Extract an expression that defines a path to a terminal node |
| extract_rules.lgb.Booster | Extract rules from an lgb.Booster model |
| extract_rules.model_fit | Methods for tidymodels objects |
| extract_rules.ObliqueForest | Extract rules from an ObliqueForest model |
| extract_rules.party | Extract rules from a party object |
| extract_rules.randomForest | Extract an expression that defines a path to a terminal node |
| extract_rules.ranger | Extract an expression that defines a path to a terminal node |
| extract_rules.rpart | Extract rules from an rpart model |
| extract_rules.workflow | Methods for tidymodels objects |
| extract_rules.xgb.Booster | Extract rules from an xgb.Booster model |
| lorax_var_imp | Tree Importance Scores |
| num_ensemble_members | Count the number of members in an ensemble |
| num_ensemble_members.bagger | Count the number of members in an ensemble |
| num_ensemble_members.bart | Count the number of members in an ensemble |
| num_ensemble_members.C5.0 | Count the number of members in an ensemble |
| num_ensemble_members.catboost.Model | Count the number of members in an ensemble |
| num_ensemble_members.cforest | Count the number of members in an ensemble |
| num_ensemble_members.cubist | Count the number of members in an ensemble |
| num_ensemble_members.grf | Count the number of members in an ensemble |
| num_ensemble_members.lgb.Booster | Count the number of members in an ensemble |
| num_ensemble_members.model_fit | Methods for tidymodels objects |
| num_ensemble_members.ObliqueForest | Count the number of members in an ensemble |
| num_ensemble_members.randomForest | Count the number of members in an ensemble |
| num_ensemble_members.ranger | Count the number of members in an ensemble |
| num_ensemble_members.workflow | Methods for tidymodels objects |
| num_ensemble_members.xgb.Booster | Count the number of members in an ensemble |
| obliq_split_to_expr | Convert an oblique split to an R expression |
| rect_split_to_expr | Convert a rectangular split to an R expression |
| rule_text | Convert a rule expression to a readable text format |
| tidymodels-methods | Methods for tidymodels objects |
| var_imp.catboost.Model | Tree Importance Scores |
| var_imp.cforest | Tree Importance Scores |
| var_imp.grf | Tree Importance Scores |
| var_imp.lgb.Booster | Tree Importance Scores |
| var_imp.model_fit | Methods for tidymodels objects |
| var_imp.ObliqueForest | Tree Importance Scores |
| var_imp.party | Tree Importance Scores |
| var_imp.randomForest | Tree Importance Scores |
| var_imp.ranger | Tree Importance Scores |
| var_imp.rpart | Tree Importance Scores |
| var_imp.workflow | Methods for tidymodels objects |
| var_imp.xgb.Booster | Tree Importance Scores |