Preprocessing and Feature Engineering Steps for Modeling
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Documentation for package ‘recipes’ version 1.0.10
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A B C D F G H I J M N P R S T U V misc
-- A --
| 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 |
-- B --
| bake | Apply a trained preprocessing recipe |
| bake.recipe | Apply a trained preprocessing recipe |
-- C --
| 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 |
-- D --
| denom_vars | Ratio variable creation |
| 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 |
| discretize.default | Discretize Numeric Variables |
| discretize.numeric | Discretize Numeric Variables |
| dummy_extract_names | Naming Tools |
| dummy_names | Naming Tools |
-- F --
| formula.recipe | Create a formula from a prepared recipe |
| fully_trained | Check to see if a recipe is trained/prepared |
-- G --
| get_case_weights | Helpers for steps with case weights |
-- H --
| has_role | Role Selection |
| has_type | Role Selection |
-- I --
| imp_vars | Impute via bagged trees |
-- J --
| juice | Extract transformed training set |
-- M --
| medians | Helpers for steps with case weights |
-- N --
| names0 | Naming Tools |
-- P --
| 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 |
-- R --
| 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 |
-- S --
| 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_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_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 infrequent 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 mumeric 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 |
-- T --
| 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_classdist_shrunken | 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 |
-- U --
| update.step | Update a recipe step |
| update_role | Manually alter roles |
| update_role_requirements | Update role specific requirements |
-- V --
| variances | Helpers for steps with case weights |
-- misc --
| .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 |