A B C D F G H I J M N P R S T U V misc
add_check | Add a New Operation to the Current Recipe |
add_role | Manually Alter Roles |
add_step | Add a New Operation to the Current Recipe |
all_date | Role Selection |
all_datetime | Role Selection |
all_datetime_predictors | Role Selection |
all_date_predictors | Role Selection |
all_double | Role Selection |
all_double_predictors | Role Selection |
all_factor | Role Selection |
all_factor_predictors | Role Selection |
all_integer | Role Selection |
all_integer_predictors | Role Selection |
all_logical | Role Selection |
all_logical_predictors | Role Selection |
all_nominal | Role Selection |
all_nominal_predictors | Role Selection |
all_numeric | Role Selection |
all_numeric_predictors | Role Selection |
all_ordered | Role Selection |
all_ordered_predictors | Role Selection |
all_outcomes | Role Selection |
all_predictors | Role Selection |
all_string | Role Selection |
all_string_predictors | Role Selection |
all_unordered | Role Selection |
all_unordered_predictors | Role Selection |
are_weights_used | Helpers for steps with case weights |
averages | Helpers for steps with case weights |
bake | Apply a trained preprocessing recipe |
bake.recipe | Apply a trained preprocessing recipe |
case-weight-helpers | Helpers for steps with case weights |
case_weights | Using case weights with recipes |
check_class | Check Variable Class |
check_cols | Check if all Columns are Present |
check_missing | Check for Missing Values |
check_new_values | Check for New Values |
check_range | Check Range Consistency |
correlations | Helpers for steps with case weights |
covariances | Helpers for steps with case weights |
current_info | Role Selection |
denom_vars | Ratio Variable Creation |
detect_step | Detect if a particular step or check is used in a recipe |
discretize | Discretize Numeric Variables |
discretize.default | Discretize Numeric Variables |
discretize.numeric | Discretize Numeric Variables |
dummy_extract_names | Naming Tools |
dummy_names | Naming Tools |
formula.recipe | Create a Formula from a Prepared Recipe |
fully_trained | Check to see if a recipe is trained/prepared |
get_case_weights | Helpers for steps with case weights |
has_role | Role Selection |
has_type | Role Selection |
imp_vars | Impute via bagged trees |
juice | Extract transformed training set |
medians | Helpers for steps with case weights |
names0 | Naming Tools |
pca_wts | Helpers for steps with case weights |
predict.discretize | Discretize Numeric Variables |
prep | Estimate a preprocessing recipe |
prep.recipe | Estimate a preprocessing recipe |
prepper | Wrapper function for preparing recipes within resampling |
print.recipe | Print a Recipe |
recipe | Create a recipe for preprocessing data |
recipe.data.frame | Create a recipe for preprocessing data |
recipe.default | Create a recipe for preprocessing data |
recipe.formula | Create a recipe for preprocessing data |
recipe.matrix | Create a recipe for preprocessing data |
recipes_eval_select | Evaluate a selection with tidyselect semantics specific to recipes |
recipes_extension_check | Checks that steps have all S3 methods |
remove_role | Manually Alter Roles |
roles | Manually Alter Roles |
selection | Methods for selecting variables in step functions |
selections | Methods for selecting variables in step functions |
step_arrange | Sort rows using dplyr |
step_bagimpute | Impute via bagged trees |
step_bin2factor | Create a Factors from A Dummy Variable |
step_BoxCox | Box-Cox Transformation for Non-Negative Data |
step_bs | B-Spline Basis Functions |
step_center | Centering numeric data |
step_classdist | Distances to Class Centroids |
step_corr | High Correlation Filter |
step_count | Create Counts of Patterns using Regular Expressions |
step_cut | Cut a numeric variable into a factor |
step_date | Date Feature Generator |
step_depth | Data Depths |
step_discretize | Discretize Numeric Variables |
step_dummy | Create traditional dummy variables |
step_dummy_extract | Extract patterns from nominal data |
step_dummy_multi_choice | Handle levels in multiple predictors together |
step_factor2string | Convert Factors to Strings |
step_filter | Filter rows using dplyr |
step_filter_missing | Missing Value Column Filter |
step_geodist | Distance between two locations |
step_harmonic | Add sin and cos terms for harmonic analysis |
step_holiday | Holiday Feature Generator |
step_hyperbolic | Hyperbolic Transformations |
step_ica | ICA Signal Extraction |
step_impute_bag | Impute via bagged trees |
step_impute_knn | Impute via k-nearest neighbors |
step_impute_linear | Impute numeric variables via a linear model |
step_impute_lower | Impute numeric data below the threshold of measurement |
step_impute_mean | Impute numeric data using the mean |
step_impute_median | Impute numeric data using the median |
step_impute_mode | Impute nominal data using the most common value |
step_impute_roll | Impute numeric data using a rolling window statistic |
step_indicate_na | Create Missing Data Column Indicators |
step_integer | Convert values to predefined integers |
step_interact | Create Interaction Variables |
step_intercept | Add intercept (or constant) column |
step_inverse | Inverse Transformation |
step_invlogit | Inverse Logit Transformation |
step_isomap | Isomap Embedding |
step_knnimpute | Impute via k-nearest neighbors |
step_kpca | Kernel PCA Signal Extraction |
step_kpca_poly | Polynomial Kernel PCA Signal Extraction |
step_kpca_rbf | Radial Basis Function Kernel PCA Signal Extraction |
step_lag | Create a lagged predictor |
step_lincomb | Linear Combination Filter |
step_log | Logarithmic Transformation |
step_logit | Logit Transformation |
step_lowerimpute | Impute numeric data below the threshold of measurement |
step_meanimpute | Impute numeric data using the mean |
step_medianimpute | Impute numeric data using the median |
step_modeimpute | Impute nominal data using the most common value |
step_mutate | Add new variables using dplyr |
step_mutate_at | Mutate multiple columns using dplyr |
step_naomit | Remove observations with missing values |
step_nnmf | Non-Negative Matrix Factorization Signal Extraction |
step_nnmf_sparse | Non-Negative Matrix Factorization Signal Extraction with lasso Penalization |
step_normalize | Center and scale numeric data |
step_novel | Simple Value Assignments for Novel Factor Levels |
step_ns | Natural Spline Basis Functions |
step_num2factor | Convert Numbers to Factors |
step_nzv | Near-Zero Variance Filter |
step_ordinalscore | Convert Ordinal Factors to Numeric Scores |
step_other | Collapse Some Categorical Levels |
step_pca | PCA Signal Extraction |
step_percentile | Percentile Transformation |
step_pls | Partial Least Squares Feature Extraction |
step_poly | Orthogonal Polynomial Basis Functions |
step_poly_bernstein | Generalized Bernstein Polynomial Basis |
step_profile | Create a Profiling Version of a Data Set |
step_range | Scaling Numeric Data to a Specific Range |
step_ratio | Ratio Variable Creation |
step_regex | Detect a regular expression |
step_relevel | Relevel factors to a desired level |
step_relu | Apply (Smoothed) Rectified Linear Transformation |
step_rename | Rename variables by name using dplyr |
step_rename_at | Rename multiple columns using dplyr |
step_rm | General Variable Filter |
step_rollimpute | Impute numeric data using a rolling window statistic |
step_sample | Sample rows using dplyr |
step_scale | Scaling Numeric Data |
step_select | Select variables using dplyr |
step_shuffle | Shuffle Variables |
step_slice | Filter rows by position using dplyr |
step_spatialsign | Spatial Sign Preprocessing |
step_spline_b | Basis Splines |
step_spline_convex | Convex Splines |
step_spline_monotone | Monotone Splines |
step_spline_natural | Natural Splines |
step_spline_nonnegative | Non-Negative Splines |
step_sqrt | Square Root Transformation |
step_string2factor | Convert Strings to Factors |
step_time | Time Feature Generator |
step_unknown | Assign missing categories to "unknown" |
step_unorder | Convert Ordered Factors to Unordered Factors |
step_window | Moving Window Functions |
step_YeoJohnson | Yeo-Johnson Transformation |
step_zv | Zero Variance Filter |
summary.recipe | Summarize a recipe |
tidy.check | Tidy the Result of a Recipe |
tidy.check_class | Tidy the Result of a Recipe |
tidy.check_cols | Tidy the Result of a Recipe |
tidy.check_missing | Tidy the Result of a Recipe |
tidy.check_new_values | Tidy the Result of a Recipe |
tidy.check_range | Tidy the Result of a Recipe |
tidy.recipe | Tidy the Result of a Recipe |
tidy.step | Tidy the Result of a Recipe |
tidy.step_arrange | Tidy the Result of a Recipe |
tidy.step_bin2factor | Tidy the Result of a Recipe |
tidy.step_BoxCox | Tidy the Result of a Recipe |
tidy.step_bs | Tidy the Result of a Recipe |
tidy.step_center | Tidy the Result of a Recipe |
tidy.step_classdist | Tidy the Result of a Recipe |
tidy.step_corr | Tidy the Result of a Recipe |
tidy.step_count | Tidy the Result of a Recipe |
tidy.step_cut | Tidy the Result of a Recipe |
tidy.step_date | Tidy the Result of a Recipe |
tidy.step_depth | Tidy the Result of a Recipe |
tidy.step_discretize | Tidy the Result of a Recipe |
tidy.step_dummy | Tidy the Result of a Recipe |
tidy.step_dummy_extract | Tidy the Result of a Recipe |
tidy.step_dummy_multi_choice | Tidy the Result of a Recipe |
tidy.step_factor2string | Tidy the Result of a Recipe |
tidy.step_filter | Tidy the Result of a Recipe |
tidy.step_filter_missing | Tidy the Result of a Recipe |
tidy.step_geodist | Tidy the Result of a Recipe |
tidy.step_harmonic | Tidy the Result of a Recipe |
tidy.step_holiday | Tidy the Result of a Recipe |
tidy.step_hyperbolic | Tidy the Result of a Recipe |
tidy.step_ica | Tidy the Result of a Recipe |
tidy.step_impute_bag | Tidy the Result of a Recipe |
tidy.step_impute_knn | Tidy the Result of a Recipe |
tidy.step_impute_linear | Tidy the Result of a Recipe |
tidy.step_impute_lower | Tidy the Result of a Recipe |
tidy.step_impute_mean | Tidy the Result of a Recipe |
tidy.step_impute_median | Tidy the Result of a Recipe |
tidy.step_impute_mode | Tidy the Result of a Recipe |
tidy.step_impute_roll | Tidy the Result of a Recipe |
tidy.step_indicate_na | Tidy the Result of a Recipe |
tidy.step_integer | Tidy the Result of a Recipe |
tidy.step_interact | Tidy the Result of a Recipe |
tidy.step_intercept | Tidy the Result of a Recipe |
tidy.step_inverse | Tidy the Result of a Recipe |
tidy.step_invlogit | Tidy the Result of a Recipe |
tidy.step_isomap | Tidy the Result of a Recipe |
tidy.step_kpca | Tidy the Result of a Recipe |
tidy.step_kpca_poly | Tidy the Result of a Recipe |
tidy.step_kpca_rbf | Tidy the Result of a Recipe |
tidy.step_lag | Tidy the Result of a Recipe |
tidy.step_lincomb | Tidy the Result of a Recipe |
tidy.step_log | Tidy the Result of a Recipe |
tidy.step_logit | Tidy the Result of a Recipe |
tidy.step_mutate | Tidy the Result of a Recipe |
tidy.step_mutate_at | Tidy the Result of a Recipe |
tidy.step_naomit | Tidy the Result of a Recipe |
tidy.step_nnmf | Tidy the Result of a Recipe |
tidy.step_nnmf_sparse | Tidy the Result of a Recipe |
tidy.step_normalize | Tidy the Result of a Recipe |
tidy.step_novel | Tidy the Result of a Recipe |
tidy.step_ns | Tidy the Result of a Recipe |
tidy.step_num2factor | Tidy the Result of a Recipe |
tidy.step_nzv | Tidy the Result of a Recipe |
tidy.step_ordinalscore | Tidy the Result of a Recipe |
tidy.step_other | Tidy the Result of a Recipe |
tidy.step_pca | Tidy the Result of a Recipe |
tidy.step_percentile | Tidy the Result of a Recipe |
tidy.step_pls | Tidy the Result of a Recipe |
tidy.step_poly | Tidy the Result of a Recipe |
tidy.step_poly_bernstein | Tidy the Result of a Recipe |
tidy.step_profile | Tidy the Result of a Recipe |
tidy.step_range | Tidy the Result of a Recipe |
tidy.step_ratio | Tidy the Result of a Recipe |
tidy.step_regex | Tidy the Result of a Recipe |
tidy.step_relevel | Tidy the Result of a Recipe |
tidy.step_relu | Tidy the Result of a Recipe |
tidy.step_rename | Tidy the Result of a Recipe |
tidy.step_rename_at | Tidy the Result of a Recipe |
tidy.step_rm | Tidy the Result of a Recipe |
tidy.step_sample | Tidy the Result of a Recipe |
tidy.step_scale | Tidy the Result of a Recipe |
tidy.step_select | Tidy the Result of a Recipe |
tidy.step_shuffle | Tidy the Result of a Recipe |
tidy.step_slice | Tidy the Result of a Recipe |
tidy.step_spatialsign | Tidy the Result of a Recipe |
tidy.step_spline_b | Tidy the Result of a Recipe |
tidy.step_spline_convex | Tidy the Result of a Recipe |
tidy.step_spline_monotone | Tidy the Result of a Recipe |
tidy.step_spline_natural | Tidy the Result of a Recipe |
tidy.step_spline_nonnegative | Tidy the Result of a Recipe |
tidy.step_sqrt | Tidy the Result of a Recipe |
tidy.step_string2factor | Tidy the Result of a Recipe |
tidy.step_time | Tidy the Result of a Recipe |
tidy.step_unknown | Tidy the Result of a Recipe |
tidy.step_unorder | Tidy the Result of a Recipe |
tidy.step_window | Tidy the Result of a Recipe |
tidy.step_YeoJohnson | Tidy the Result of a Recipe |
tidy.step_zv | Tidy the Result of a Recipe |
update.step | Update a recipe step |
update_role | Manually Alter Roles |
update_role_requirements | Update role specific requirements |
variances | Helpers for steps with case weights |
.get_data_types | Get types for use in recipes |
.get_data_types.character | Get types for use in recipes |
.get_data_types.Date | Get types for use in recipes |
.get_data_types.default | Get types for use in recipes |
.get_data_types.double | Get types for use in recipes |
.get_data_types.factor | Get types for use in recipes |
.get_data_types.hardhat_case_weights | Get types for use in recipes |
.get_data_types.integer | Get types for use in recipes |
.get_data_types.list | Get types for use in recipes |
.get_data_types.logical | Get types for use in recipes |
.get_data_types.numeric | Get types for use in recipes |
.get_data_types.ordered | Get types for use in recipes |
.get_data_types.POSIXct | Get types for use in recipes |
.get_data_types.Surv | Get types for use in recipes |
.get_data_types.textrecipes_tokenlist | Get types for use in recipes |