| .cols | Data Set Characteristics Available when Fitting Models |
| .dat | Data Set Characteristics Available when Fitting Models |
| .facts | Data Set Characteristics Available when Fitting Models |
| .lvls | Data Set Characteristics Available when Fitting Models |
| .obs | Data Set Characteristics Available when Fitting Models |
| .preds | Data Set Characteristics Available when Fitting Models |
| .x | Data Set Characteristics Available when Fitting Models |
| .y | Data Set Characteristics Available when Fitting Models |
| add_rowindex | Add a column of row numbers to a data frame |
| augment.model_fit | Augment data with predictions |
| boost_tree | Boosted trees |
| control_parsnip | Control the fit function |
| contr_one_hot | Contrast function for one-hot encodings |
| decision_tree | Decision trees |
| descriptors | Data Set Characteristics Available when Fitting Models |
| extract-parsnip | Extract elements of a parsnip model object |
| extract_fit_engine.model_fit | Extract elements of a parsnip model object |
| extract_spec_parsnip.model_fit | Extract elements of a parsnip model object |
| fit.model_spec | Fit a Model Specification to a Dataset |
| fit_control | Control the fit function |
| fit_xy.model_spec | Fit a Model Specification to a Dataset |
| gen_additive_mod | Generalized additive models (GAMs) |
| glance.model_fit | Construct a single row summary "glance" of a model, fit, or other object |
| linear_reg | Linear regression |
| logistic_reg | Logistic regression |
| mars | Multivariate adaptive regression splines (MARS) |
| maybe_data_frame | Fuzzy conversions |
| maybe_matrix | Fuzzy conversions |
| min_cols | Execution-time data dimension checks |
| min_rows | Execution-time data dimension checks |
| mlp | Single layer neural network |
| model_fit | Model Fit Object Information |
| model_spec | Model Specification Information |
| multinom_reg | Multinomial regression |
| multi_predict | Model predictions across many sub-models |
| multi_predict.default | Model predictions across many sub-models |
| multi_predict._C5.0 | Model predictions across many sub-models |
| multi_predict._earth | Model predictions across many sub-models |
| multi_predict._elnet | Model predictions across many sub-models |
| multi_predict._lognet | Model predictions across many sub-models |
| multi_predict._multnet | Model predictions across many sub-models |
| multi_predict._train.kknn | Model predictions across many sub-models |
| multi_predict._xgb.Booster | Model predictions across many sub-models |
| nearest_neighbor | K-nearest neighbors |
| null_model | Null model |
| parsnip_addin | Start an RStudio Addin that can write model specifications |
| parsnip_update | Update a model specification |
| rand_forest | Random forest |
| repair_call | Repair a model call object |
| required_pkgs.model_fit | Determine required packages for a model |
| required_pkgs.model_spec | Determine required packages for a model |
| req_pkgs | Determine required packages for a model |
| req_pkgs.model_fit | Determine required packages for a model |
| req_pkgs.model_spec | Determine required packages for a model |
| set_args | Change elements of a model specification |
| set_engine | Declare a computational engine and specific arguments |
| set_mode | Change elements of a model specification |
| show_engines | Display currently available engines for a model |
| svm_linear | Linear support vector machines |
| svm_poly | Polynomial support vector machines |
| svm_rbf | Radial basis function support vector machines |
| tidy.model_fit | Turn a parsnip model object into a tidy tibble |
| translate | Resolve a Model Specification for a Computational Engine |
| translate.default | Resolve a Model Specification for a Computational Engine |
| update.boost_tree | Update a model specification |
| update.decision_tree | Update a model specification |
| update.gen_additive_mod | Update a model specification |
| update.linear_reg | Update a model specification |
| update.logistic_reg | Update a model specification |
| update.mars | Update a model specification |
| update.mlp | Update a model specification |
| update.multinom_reg | Update a model specification |
| update.nearest_neighbor | Update a model specification |
| update.proportional_hazards | Update a model specification |
| update.rand_forest | Update a model specification |
| update.survival_reg | Update a model specification |
| update.surv_reg | Update a model specification |
| update.svm_linear | Update a model specification |
| update.svm_poly | Update a model specification |
| update.svm_rbf | Update a model specification |
| varying_args.model_spec | Determine varying arguments |
| varying_args.recipe | Determine varying arguments |
| varying_args.step | Determine varying arguments |