.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 | General Interface for Boosted Trees |
control_parsnip | Control the fit function |
contr_one_hot | Contrast function for one-hot encodings |
decision_tree | General Interface for Decision Tree Models |
descriptors | Data Set Characteristics Available when Fitting Models |
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 |
glance.model_fit | Construct a single row summary "glance" of a model, fit, or other object |
linear_reg | General Interface for Linear Regression Models |
logistic_reg | General Interface for Logistic Regression Models |
mars | General Interface for 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 | General Interface for Single Layer Neural Network |
model_db | parsnip model specification database |
model_fit | Model Fit Object Information |
model_spec | Model Specification Information |
multinom_reg | General Interface for Multinomial Regression Models |
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 | General Interface for K-Nearest Neighbor Models |
nullmodel | Fit a simple, non-informative model |
nullmodel.default | Fit a simple, non-informative model |
null_model | General Interface for null models |
parsnip_addin | Start an RStudio Addin that can write model specifications |
predict.nullmodel | Fit a simple, non-informative model |
print.nullmodel | Fit a simple, non-informative model |
rand_forest | General Interface for Random Forest Models |
repair_call | Repair a model call object |
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 |
surv_reg | General Interface for Parametric Survival Models |
svm_poly | General interface for polynomial support vector machines |
svm_rbf | General interface for radial basis function support vector machines |
tidy.model_fit | Turn a parsnip model object into a tidy tibble |
tidy.nullmodel | Tidy method for null models |
tidy._elnet | tidy methods for glmnet models |
tidy._fishnet | tidy methods for glmnet models |
tidy._lognet | tidy methods for glmnet models |
tidy._multnet | tidy methods for glmnet models |
translate | Resolve a Model Specification for a Computational Engine |
translate.default | Resolve a Model Specification for a Computational Engine |
update.boost_tree | General Interface for Boosted Trees |
update.decision_tree | General Interface for Decision Tree Models |
update.linear_reg | General Interface for Linear Regression Models |
update.logistic_reg | General Interface for Logistic Regression Models |
update.mars | General Interface for MARS |
update.mlp | General Interface for Single Layer Neural Network |
update.multinom_reg | General Interface for Multinomial Regression Models |
update.rand_forest | General Interface for Random Forest Models |
update.surv_reg | General Interface for Parametric Survival Models |
update.svm_poly | General interface for polynomial support vector machines |
update.svm_rbf | General interface for radial basis function support vector machines |
varying | A placeholder function for argument values |
varying_args.model_spec | Determine varying arguments |
varying_args.recipe | Determine varying arguments |
varying_args.step | Determine varying arguments |