Man pages for tidypredict
Run Predictions Inside the Database
| acceptable_formula | Checks that the formula can be parsed |
| as_parsed_model | Prepares parsed model object |
| build_nested_node | Build a nested case_when expression for a single node |
| build_nested_split_condition | Build a split condition expression for nested trees (left... |
| dot-build_case_when_tree | Build case_when expression from nodes with predictions and... |
| dot-build_linear_pred | Build linear predictor expression from coefficient names and... |
| dot-build_nested_case_when_tree | Build nested case_when expression from tree info |
| dot-extract_catboost_trees | Extract processed CatBoost trees |
| dot-extract_earth_multiclass | Extract multiclass linear predictors for earth models |
| dot-extract_glmnet_multiclass | Extract multiclass linear predictors for glmnet models |
| dot-extract_lgb_trees | Extract processed LightGBM trees |
| dot-extract_partykit_classprob | Extract classprob trees for partykit models |
| dot-extract_ranger_classprob | Extract classification probability trees for ranger models |
| dot-extract_ranger_trees | Extract regression trees for ranger models |
| dot-extract_rf_classprob | Extract classification vote trees for randomForest models |
| dot-extract_rf_trees | Extract regression trees for randomForest models |
| dot-extract_rpart_classprob | Extract classprob trees for rpart models |
| dot-extract_xgb_trees | Extract processed xgboost trees |
| dot-partykit_tree_info_full | Extract comprehensive tree info for partykit models |
| dot-rpart_tree_info_full | Extract comprehensive tree info for rpart models |
| generate_case_when_trees | Generate trees |
| generate_nested_case_when_tree | Generate nested case_when trees |
| generate_tree_node | Construct a single node of a tree |
| knit_print.tidypredict_test | Knit print method for test predictions results |
| parse_model | Converts an R model object into a parsed model |
| path_formula | Turn a path object into an expression |
| path_formulas | Turn a path object into a combined expression |
| print.tidypredict_test | print method for test predictions results |
| reexports | Objects exported from other packages |
| set_catboost_categories | Set categorical feature mappings for CatBoost model |
| tidy.pm_regression | Tidy the parsed model results |
| tidypredict_fit | Returns a Tidy Eval formula to calculate fitted values |
| tidypredict_interval | Returns a Tidy Eval formula to calculate prediction interval. |
| tidypredict-package | tidypredict: Run Predictions Inside the Database |
| tidypredict_sql | Returns a SQL query with formula to calculate fitted values |
| tidypredict_sql_interval | Returns a SQL query with formula to calculate predicted... |
| tidypredict_test | Tests base predict function against tidypredict |
| tidypredict_to_column | Adds the prediction columns to a piped command set. |
