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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", "1.1.0")



Attach the package and use:
library("recipes")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
All associated links for this package
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 1.1.0, https://cran.r-project.org/web/packages/recipes. Accessed 21 Nov. 2024.
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)
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
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