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Recipes

Find recipe steps in the tidymodels framework to help you prep your data for modeling.

To learn about the recipes package, see Get Started: Preprocess your data with recipes. Use the filter below to search for recipe steps across tidymodels packages.

Add intercept (or constant) column

function: step_intercept package: recipes

Add new variables using dplyr

function: step_mutate package: recipes

Add sin and cos terms for harmonic analysis

function: step_harmonic package: recipes

Algebraic Functions Vectorization of Persistent Homology

function: step_vpd_algebraic_functions package: tdarec

Apply (smoothed) rectified linear transformation

function: step_relu package: recipes

Apply Adaptive Synthetic Algorithm

function: step_adasyn package: themis

Apply ROSE Algorithm

function: step_rose package: themis

Apply SMOTE Algorithm

function: step_smote package: themis

Apply SMOTENC algorithm

function: step_smotenc package: themis

Apply borderline-SMOTE Algorithm

function: step_bsmote package: themis

Assign missing categories to "unknown"

function: step_unknown package: recipes

B-spline basis functions

function: step_bs package: recipes

BPE Tokenization of Character Variables

function: step_tokenize_bpe package: textrecipes

Basis splines

function: step_spline_b package: recipes

Betti Curve Vectorization of Persistent Homology

function: step_vpd_betti_curve package: tdarec

Blur raster data

function: step_blur package: tdarec

Box-Cox Transformation using Forecast Methods

function: step_box_cox package: timetk

Box-Cox transformation for non-negative data

function: step_BoxCox package: recipes

Calculate LDA Dimension Estimates of Tokens

function: step_lda package: textrecipes

Calculate Set of Text Features

function: step_textfeature package: textrecipes

Center and scale numeric data

function: step_normalize package: recipes

Centering numeric data

function: step_center package: recipes

Centering numeric data to a value besides their mean

function: step_center_to package: sparseR

Clean Categorical Levels

function: step_clean_levels package: textrecipes

Clean Outliers and Missing Data for Time Series

function: step_ts_clean package: timetk

Clean Variable Names

function: step_clean_names package: textrecipes

Collapse Predictors into a single list-column

function: step_collapse package: kerasnip

Collapse infrequent categorical levels

function: step_other package: recipes

Combine Multiple Token Variables Into One

function: step_tokenmerge package: textrecipes

Complex Polynomial Vectorization of Persistent Homology

function: step_vpd_complex_polynomial package: tdarec

Compute shrunken centroid distances for classification models

function: step_classdist_shrunken package: recipes

Convert factors to strings

function: step_factor2string package: recipes

Convert numbers to factors

function: step_num2factor package: recipes

Convert ordered factors to unordered factors

function: step_unorder package: recipes

Convert ordinal factors to numeric scores

function: step_ordinalscore package: recipes

Convert strings to factors

function: step_string2factor package: recipes

Convert values to predefined integers

function: step_integer package: recipes

Convex splines

function: step_spline_convex package: recipes

Create a differenced predictor

function: step_diff package: timetk

Create a factors from A dummy variable

function: step_bin2factor package: recipes

Create a lagged predictor

function: step_lag package: recipes

Create a profiling version of a data set

function: step_profile package: recipes

Create counts of patterns using regular expressions

function: step_count package: recipes

Create exposure records in a recipes step

function: step_expose package: actxps

Create interaction variables

function: step_interact package: recipes

Create missing data column indicators

function: step_indicate_na package: recipes

Create traditional dummy variables

function: step_dummy package: recipes

Cut a numeric variable into a factor

function: step_cut package: recipes

Data depths

function: step_depth package: recipes

Date feature generator

function: step_date package: recipes

Descriptive Statistics Vectorization of Persistent Homology

function: step_vpd_descriptive_statistics package: tdarec

Detect a regular expression

function: step_regex package: recipes

Discretize Numeric Variables

function: step_discretize package: recipes

Discretize numeric variables with CART

function: step_discretize_cart package: embed

Discretize numeric variables with XgBoost

function: step_discretize_xgb package: embed

Distance between two locations

function: step_geodist package: recipes

Distances to class centroids

function: step_classdist package: recipes

Down-Sample a Data Set Based on a Factor Variable

function: step_downsample package: themis

Encoding Factors into Multiple Columns

function: step_embed package: embed

Euler Characteristic Curve Vectorization of Persistent Homology

function: step_vpd_euler_characteristic_curve package: tdarec

Extract patterns from nominal data

function: step_dummy_extract package: recipes

Feature Hashing of Tokens

function: step_texthash package: textrecipes

Feature aggregation step based on a defined list

function: step_aggregate_list package: scimo

Feature aggregation step based on a hierarchical clustering

function: step_aggregate_hclust package: scimo

Feature normalization step using total sum scaling

function: step_rownormalize_tss package: scimo

Feature selection step using Kruskal test

function: step_select_kruskal package: scimo

Feature selection step using Wilcoxon test

function: step_select_wilcoxon package: scimo

Feature selection step using background level

function: step_select_background package: scimo

Feature selection step using the coefficient of variation

function: step_select_cv package: scimo

Filter Tokens Based on Term Frequency

function: step_tokenfilter package: textrecipes

Filter rows by position using dplyr

function: step_slice package: recipes

Filter rows using dplyr

function: step_filter package: recipes

Filtering of Stop Words for Tokens Variables

function: step_stopwords package: textrecipes

Fourier Features for Modeling Seasonality

function: step_fourier package: timetk

General variable filter

function: step_rm package: recipes

Generalized bernstein polynomial basis

function: step_poly_bernstein package: recipes

Generate n-grams From Token Variables

function: step_ngram package: textrecipes

Handle levels in multiple predictors together

function: step_dummy_multi_choice package: recipes

High correlation filter

function: step_corr package: recipes

Holiday Feature (Signature) Generator

function: step_holiday_signature package: timetk

Holiday feature generator

function: step_holiday package: recipes

Hyperbolic transformations

function: step_hyperbolic package: recipes

ICA signal extraction

function: step_ica package: recipes

Impute nominal data using the most common value

function: step_impute_mode package: recipes

Impute numeric data below the threshold of measurement

function: step_impute_lower package: recipes

Impute numeric data using a rolling window statistic

function: step_impute_roll package: recipes

Impute numeric data using the mean

function: step_impute_mean package: recipes

Impute numeric data using the median

function: step_impute_median package: recipes

Impute numeric variables via a linear model

function: step_impute_linear package: recipes

Impute via bagged trees

function: step_impute_bag package: recipes

Impute via k-nearest neighbors

function: step_impute_knn package: recipes

Indicate Recurrent Date Time Event

function: step_time_event package: extrasteps

Indicator Variables via Feature Hashing

function: step_dummy_hash package: textrecipes

Inverse logit transformation

function: step_invlogit package: recipes

Inverse transformation

function: step_inverse package: recipes

Isomap embedding

function: step_isomap package: recipes

K-Means Clustering Variable Reduction

function: step_kmeans package: MachineShop

K-Medoids Clustering Variable Selection

function: step_kmedoids package: MachineShop

Kernel PCA signal extraction

function: step_kpca package: recipes

Lemmatization of Token Variables

function: step_lemma package: textrecipes

Likelihood encoding using analytical formula

function: step_lencode package: embed

Linear Components Variable Reduction

function: step_lincomp package: MachineShop

Linear combination filter

function: step_lincomb package: recipes

Log Interval Transformation for Constrained Interval Forecasting

function: step_log_interval package: timetk

Logarithmic transformation

function: step_log package: recipes

Logit transformation

function: step_logit package: recipes

Missing Data Imputation for Time Series

function: step_ts_impute package: timetk

Missing value column filter

function: step_filter_missing package: recipes

Monotone splines

function: step_spline_monotone package: recipes

Moving window functions

function: step_window package: recipes

Mutate multiple columns using dplyr

function: step_mutate_at package: recipes

Natural spline basis functions

function: step_ns package: recipes

Natural splines

function: step_spline_natural package: recipes

Near-zero variance filter

function: step_nzv package: recipes

Non-negative matrix factorization signal extraction with lasso penalization

function: step_nnmf_sparse package: recipes

Non-negative splines

function: step_spline_nonnegative package: recipes

Normalization of Character Variables

function: step_text_normalization package: textrecipes

Normalized Life Curve Vectorization of Persistent Homology

function: step_vpd_normalized_life_curve package: tdarec

ORQ normalization (orderNorm) for recipes implementation

function: step_orderNorm package: bestNormalize

Optimal Binning and WoE Transformation Step

function: step_obwoe package: OptimalBinningWoE

Orthogonal polynomial basis functions

function: step_poly package: recipes

PCA signal extraction

function: step_pca package: recipes

Pad: Add rows to fill gaps and go from low to high frequency

function: step_ts_pad package: timetk

Part of Speech Filtering of Token Variables

function: step_pos_filter package: textrecipes

Partial least squares feature extraction

function: step_pls package: recipes

Percentile transformation

function: step_percentile package: recipes

Perform Max Abs Scaling

function: step_maxabs package: extrasteps

Perform Min Max Scaling

function: step_minmax package: extrasteps

Perform Robust Scaling

function: step_robust package: extrasteps

Perform Unit Normalization

function: step_unit_normalize package: extrasteps

Perform binary encoding of factor variables

function: step_encoding_binary package: extrasteps

Perform frequency encoding

function: step_encoding_frequency package: extrasteps

Persistence Block Vectorization of Persistent Homology

function: step_vpd_persistence_block package: tdarec

Persistence Image Vectorization of Persistent Homology

function: step_vpd_persistence_image package: tdarec

Persistence Landscape Vectorization of Persistent Homology

function: step_vpd_persistence_landscape package: tdarec

Persistence Silhouette Vectorization of Persistent Homology

function: step_vpd_persistence_silhouette package: tdarec

Persistent Entropy Summary Vectorization of Persistent Homology

function: step_vpd_persistent_entropy_summary package: tdarec

Persistent homology of point clouds

function: step_pd_point_cloud package: tdarec

Persistent homology of raster data (images)

function: step_pd_raster package: tdarec

Polynomial kernel PCA signal extraction

function: step_kpca_poly package: recipes

Positional One-Hot encoding of Tokens

function: step_sequence_onehot package: textrecipes

Pretrained Word Embeddings of Tokens

function: step_word_embeddings package: textrecipes

Radial basis function kernel PCA signal extraction

function: step_kpca_rbf package: recipes

Ratio variable creation

function: step_ratio package: recipes

Recipes Data Scale by Z-Score

function: step_hai_scale_zscore package: healthyR.ai

Recipes Data Scale to Zero and One

function: step_hai_scale_zero_one package: healthyR.ai

Recipes Step Fourier Discrete Generator

function: step_hai_fourier_discrete package: healthyR.ai

Recipes Step Fourier Generator

function: step_hai_fourier package: healthyR.ai

Recipes Step Hyperbolic Generator

function: step_hai_hyperbolic package: healthyR.ai

Recipes Step Winsorized Move Generator

function: step_hai_winsorized_move package: healthyR.ai

Recipes Step Winsorized Truncate Generator

function: step_hai_winsorized_truncate package: healthyR.ai

Recipes Time Series Acceleration Generator

function: step_ts_acceleration package: healthyR.ts

Recipes Time Series velocity Generator

function: step_ts_velocity package: healthyR.ts

Relevel factors to a desired level

function: step_relevel package: recipes

Remove Points Near Other Classes

function: step_nearmiss package: themis

Remove Tomek’s Links

function: step_tomek package: themis

Remove observations with missing values

function: step_naomit package: recipes

Rename multiple columns using dplyr

function: step_rename_at package: recipes

Rename variables by name using dplyr

function: step_rename package: recipes

Run bestNormalize transformation for recipes implementation

function: step_best_normalize package: bestNormalize

Run bestNormalize transformation for recipes implementation

function: step_bestNormalize package: bestNormalize

Run bestNormalize transformation for recipes implementation

function: step_bestNormalize_new package: bestNormalize

Sample rows using dplyr

function: step_sample package: recipes

Scaling numeric data

function: step_scale package: recipes

Scaling numeric data to a specific range

function: step_range package: recipes

Select variables using dplyr

function: step_select package: recipes

Sentencepiece Tokenization of Character Variables

function: step_tokenize_sentencepiece package: textrecipes

Separate persistent pairs by homological degree

function: step_pd_degree package: tdarec

Shuffle variables

function: step_shuffle package: recipes

Simple value assignments for novel factor levels

function: step_novel package: recipes

Slidify Rolling Window Transformation

function: step_slidify package: timetk

Slidify Rolling Window Transformation (Augmented Version)

function: step_slidify_augment package: timetk

Smoothing Transformation using Loess

function: step_smooth package: timetk

Sort rows using dplyr

function: step_arrange package: recipes

Sparse Bayesian PCA Signal Extraction

function: step_pca_sparse_bayes package: embed

Sparse PCA Signal Extraction

function: step_pca_sparse package: embed

Sparse Principal Components Analysis Variable Reduction

function: step_spca package: MachineShop

Spatial sign preprocessing

function: step_spatialsign package: recipes

Square root transformation

function: step_sqrt package: recipes

Stemming of Token Variables

function: step_stem package: textrecipes

Supervised Collapsing of Factor Levels

function: step_collapse_cart package: embed

Supervised Factor Conversions into Linear Functions using Bayesian Likelihood Encodings

function: step_lencode_bayes package: embed

Supervised Factor Conversions into Linear Functions using Bayesian Likelihood Encodings

function: step_lencode_mixed package: embed

Supervised Factor Conversions into Linear Functions using Likelihood Encodings

function: step_lencode_glm package: embed

Supervised Feature Selection via A Single Filter

function: step_predictor_retain package: important

Supervised Feature Selection via Choosing the Top Predictors

function: step_predictor_best package: important

Supervised Multivariate Feature Selection via Desirability Functions

function: step_predictor_desirability package: important

Supervised and unsupervised uniform manifold approximation and projection (UMAP)

function: step_umap package: embed

Taxonomic clades feature generator

function: step_taxonomy package: scimo

Tent Template Functions Vectorization of Persistent Homology

function: step_vpd_tent_template_functions package: tdarec

Term Frequency-Inverse Document Frequency of Tokens

function: step_tfidf package: textrecipes

Term frequency of Tokens

function: step_tf package: textrecipes

Tidymodels recipe step for multicollinearity filtering

function: step_collinear package: collinear

Time Series Feature (Signature) Generator

function: step_timeseries_signature package: timetk

Time after Recurrent Date Time Event

function: step_date_after package: extrasteps

Time before Recurrent Date Time Event

function: step_date_before package: extrasteps

Time feature generator

function: step_time package: recipes

Time to Nearest Recurrent Date Time Event

function: step_date_nearest package: extrasteps

Tokenization of Character Variables

function: step_tokenize package: textrecipes

Tropical Coordinates Vectorization of Persistent Homology

function: step_vpd_tropical_coordinates package: tdarec

Truncated PCA Signal Extraction

function: step_pca_truncated package: embed

Untokenization of Token Variables

function: step_untokenize package: textrecipes

Up-Sample a Data Set Based on a Factor Variable

function: step_upsample package: themis

Variable Selection by Filtering

function: step_sbf package: MachineShop

Weight of evidence transformation

function: step_woe package: embed

Wordpiece Tokenization of Character Variables

function: step_tokenize_wordpiece package: textrecipes

Yeo-Johnson transformation

function: step_YeoJohnson package: recipes

Zero variance filter

function: step_zv package: recipes

collapse factor levels using stringdist

function: step_collapse_stringdist package: embed

difftimearithmic Transformation

function: step_difftime package: extrasteps