Other packages > Find by keyword >

recipes  

Preprocessing and Feature Engineering Steps for Modeling
View on CRAN: Click here


Download and install recipes package within the R console
Install from CRAN:
install.packages("recipes")

Install from Github:
library("remotes")
install_github("cran/recipes")

Install by package version:
library("remotes")
install_version("recipes", "1.1.1")



Attach the package and use:
library("recipes")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
First Published: 2017-07-27
Latest Update: 2023-08-25
Description:
A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
How to cite:
Max Kuhn (2017). recipes: Preprocessing and Feature Engineering Steps for Modeling. R package version 1.1.1, https://cran.r-project.org/web/packages/recipes. Accessed 16 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-07-27 12:46), 0.1.1 (2017-11-20 18:33), 0.1.2 (2018-01-11 22:51), 0.1.3 (2018-06-16 21:32), 0.1.4 (2018-11-19 13:50), 0.1.5 (2019-03-21 09:50), 0.1.6 (2019-07-02 23:20), 0.1.7 (2019-09-15 17:10), 0.1.8 (2019-12-18 16:40), 0.1.9 (2020-01-07 21:20), 0.1.10 (2020-03-18 15:50), 0.1.11 (2020-04-30 15:10), 0.1.12 (2020-05-01 09:30), 0.1.13 (2020-06-23 12:30), 0.1.14 (2020-10-17 19:30), 0.1.15 (2020-11-11 14:40), 0.1.16 (2021-04-16 17:30), 0.1.17 (2021-09-27 12:00), 0.2.0 (2022-02-19 00:20), 1.0.0 (2022-07-01 18:30), 1.0.1 (2022-07-08 00:30), 1.0.2 (2022-10-16 02:20), 1.0.3 (2022-11-09 17:50), 1.0.4 (2023-01-11 11:40), 1.0.5 (2023-02-20 19:00), 1.0.6 (2023-04-25 04:40), 1.0.7 (2023-08-11 01:00), 1.0.8 (2023-08-26 00:50), 1.0.9 (2023-12-13 22:20), 1.0.10 (2024-02-18 19:00), 1.1.0 (2024-07-04 07:10), 1.1.1 (2025-02-12 13:00), 1.2.0 (2025-03-17 22:40)
Other packages that cited recipes R package
View recipes citation profile
Other R packages that recipes depends, imports, suggests or enhances
Complete documentation for recipes
Functions, R codes and Examples using the recipes R package
Some associated functions: add_step . bake . case-weight-helpers . case_weights . check_class . check_cols . check_missing . check_name . check_new_data . check_new_values . check_range . check_type . detect_step . developer_functions . discretize . fixed . format_ch_vec . formula.recipe . fully_trained . get_data_types . get_keep_original_cols . has_role . juice . names0 . prep . prepper . print.recipe . rand_id . recipe . recipes-internal . recipes . recipes_eval_select . recipes_extension_check . recipes_pkg_check . recipes_remove_cols . reexports . remove_original_cols . required_pkgs.recipe . roles . selections . step . step_BoxCox . step_YeoJohnson . step_arrange . step_bin2factor . step_bs . step_center . step_classdist . step_classdist_shrunken . step_corr . step_count . step_cut . step_date . step_depth . step_discretize . step_dummy . step_dummy_extract . step_dummy_multi_choice . step_factor2string . step_filter . step_filter_missing . step_geodist . step_harmonic . step_holiday . step_hyperbolic . step_ica . step_impute_bag . step_impute_knn . step_impute_linear . step_impute_lower . step_impute_mean . step_impute_median . step_impute_mode . step_impute_roll . step_indicate_na . step_integer . step_interact . step_intercept . step_inverse . step_invlogit . step_isomap . step_kpca . step_kpca_poly . step_kpca_rbf . step_lag . step_lincomb . step_log . step_logit . step_mutate . step_mutate_at . step_naomit . step_nnmf . step_nnmf_sparse . step_normalize . step_novel . step_ns . step_num2factor . step_nzv . step_ordinalscore . step_other . step_pca . step_percentile . step_pls . step_poly . step_poly_bernstein . step_profile . step_range . step_ratio . step_regex . step_relevel . step_relu . step_rename . step_rename_at . step_rm . step_sample . step_scale . step_select . step_shuffle . step_slice . step_spatialsign . step_spline_b . step_spline_convex . step_spline_monotone . step_spline_natural . step_spline_nonnegative . step_sqrt . step_string2factor . step_time . step_unknown . step_unorder . step_window . step_zv . summary.recipe . terms_select . tidy.recipe . update.step . update_role_requirements . 
Some associated R codes: BoxCox.R . YeoJohnson.R . aaa.R . arrange.R . bin2factor.R . bs.R . case_weights.R . center.R . class.R . classdist.R . classdist_shrunken.R . colcheck.R . corr.R . count.R . cut.R . date.R . deprecated-terms_select.R . depth.R . developer.R . discretize.R . dummy.R . dummy_extract.R . dummy_multi_choice.R . extension_check.R . extract_parameter.R . factor2string.R . filter.R . filter_missing.R . format.R . formula.R . geodist.R . get_types_recipes.R . harmonic.R . holiday.R . hyperbolic.R . ica.R . import-standalone-obj-type.R . import-standalone-types-check.R . impute_bag.R . impute_knn.R . impute_linear.R . impute_lower.R . impute_mean.R . impute_median.R . impute_mode.R . impute_roll.R . indicate_na.R . integer.R . interact.R . intercept.R . inverse.R . invlogit.R . isomap.R . kpca.R . kpca_poly.R . kpca_rbf.R . lag.R . lincomb.R . log.R . logit.R . misc.R . missing.R . mutate.R . mutate_at.R . naomit.R . newvalues.R . nnmf.R . nnmf_sparse.R . normalize.R . novel.R . ns.R . num2factor.R . nzv.R . ordinalscore.R . other.R . pca.R . percentile.R . pkg_check.R . pls.R . poly.R . poly_bernstein.R . prepper.R . printing.R . profile.R . range.R . range_check.R . ratio.R . recipe.R . recipes-package.R . reexports.R . regex.R . relevel.R . relu.R . rename.R . rename_at.R . rm.R . roles.R . sample.R . scale.R . select.R . selections.R . shuffle.R . slice.R . spatialsign.R . spline_b.R . spline_convex.R . spline_helpers.R . spline_monotone.R . spline_natural.R . spline_nonnegative.R . sqrt.R . steps_and_checks.R . string2factor.R . testthat_helper.R . tidy.R . time.R . tunable.R . tune_args.R . unknown.R . unorder.R . update-role-requirements.R . update.R . window.R . zv.R .  Full recipes package functions and examples
Downloads during the last 30 days
03/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/14Downloads for recipes4000500060007000800090001000011000TrendBars

Today's Hot Picks in Authors and Packages

apache.sedona  
R Interface for Apache Sedona
R interface for 'Apache Sedona' based on 'sparklyr' (). ...
Download / Learn more Package Citations See dependency  
MM4LMM  
Inference of Linear Mixed Models Through MM Algorithm
The main function MMEst() performs (Restricted) Maximum Likelihood in a variance component mixed mod ...
Download / Learn more Package Citations See dependency  
datadictionary  
Create a Data Dictionary
Creates a data dictionary from any dataframe or tibble in your R environment. You can opt to add va ...
Download / Learn more Package Citations See dependency  
MultiKink  
Estimation and Inference for Multi-Kink Quantile Regression
Estimation and inference for multiple kink quantile regression for longitudinal data and the i.i.d d ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
hkclustering  
Ensemble Clustering using K Means and Hierarchical Clustering
Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering ap ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,993

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA