add_step | Add a New Operation to the Current Recipe |
bake | 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_name | check that newly created variable names don't overlap |
check_new_data | Check for required column at bake-time |
check_new_values | Check for New Values |
check_range | Check Range Consistency |
check_type | Quantitatively check on variables |
detect_step | Detect if a particular step or check is used in a recipe |
developer_functions | Developer functions for creating recipes steps |
discretize | Discretize Numeric Variables |
fixed | Helper Functions for Profile Data Sets |
format_ch_vec | Helpers for printing step functions |
formula.recipe | Create a Formula from a Prepared Recipe |
fully_trained | Check to see if a recipe is trained/prepared |
get_data_types | Get types for use in recipes |
get_keep_original_cols | Get the 'keep_original_cols' value of a recipe step |
has_role | Role Selection |
juice | Extract transformed training set |
names0 | Naming Tools |
prep | Estimate a preprocessing recipe |
prepper | Wrapper function for preparing recipes within resampling |
print.recipe | Print a Recipe |
rand_id | Make a random identification field for steps |
recipe | Create a recipe for preprocessing data |
recipes | recipes: A package for computing and preprocessing design... |
recipes_eval_select | Evaluate a selection with tidyselect semantics specific to... |
recipes_extension_check | Checks that steps have all S3 methods |
recipes-internal | Internal Functions |
recipes_pkg_check | Update packages |
recipes_remove_cols | Removes columns if options apply |
reexports | Objects exported from other packages |
remove_original_cols | Removes original columns if options apply |
required_pkgs.recipe | S3 methods for tracking which additional packages are needed... |
roles | Manually Alter Roles |
selections | Methods for selecting variables in step functions |
step | 'step' sets the class of the 'step' and 'check' is for... |
step_arrange | Sort rows using dplyr |
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_classdist_shrunken | Compute shrunken centroid distances for classification models |
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_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_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... |
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_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 |
terms_select | Select Terms in a Step Function. |
tidy.recipe | Tidy the Result of a Recipe |
update_role_requirements | Update role specific requirements |
update.step | Update a recipe step |
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