recipes is an R package by Max Kuhn and Hadley Wickham for creating and preprocessing design matrices.
recipes is an R package by Max Kuhn and Hadley Wickham for creating and preprocessing design matrices.
Questions tagged [r-recipes]
131 questions
2
votes
1 answer
Tidymodels recipes - add a step that just applies a feature engineering function?
A lot of feature engineering steps are transforms that do not need to be 'trained' on a dataset, for example, creating a new column x2 as x2=2*x1. These 'static transforms' are different are 'trainable' transforms such as demean and rescale.
Instead…
user3408956
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2
votes
1 answer
How to de-normalize data with tidy-models in r
With tidymodels as the new workflow for developing models in R, how do I denormalize/Invert Power transformation data using tidymodels.
dd <- data.frame(x1=1:5,x2 = 11:15,y=6:10).
Now using the tidy model framework:
model_recipe <- recipe(y ~ .,…
Azam Yahya
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2
votes
0 answers
add a series of steps to end of recipe in r
The goal is to be able to add a series of new steps in sequence to the end of a recipe where the new steps are passed as arguments to a function.
I can do what I want with a for…
Giovanni Colitti
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2
votes
1 answer
Why does an "id variable" in tidymodels/recipes play a predictor role?
This is the same issue as Predict with step_naomit and retain ID using tidymodels , but even though there is an accepted answer, the OP's last comment states the issue the "id variable" is being used as a predictor, as can be seen when looking at…
ap53
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2
votes
1 answer
How to apply update_role (or a step) function from recipes to multiple columns
I'm using the recipes package from tidymodels. I'm trying to update_role for a few columns at the same time. Example:
library(recipes)
library(dplyr)
cols_to_update = list()
cols_to_update[["a"]] <- c("mpg", "cyl")
mtcars %>%
recipe() %>%
…
mihagazvoda
- 1,057
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2
votes
1 answer
Using caret with recipes is leading to difficulties with resample
I've been using recipes to pipe into caret::train, which has been going well, but now I've tried some step_transforms, I'm getting the error:
Error in resamples.default(model_list) :
There are different numbers of resamples in each model
when I…
Isaiah
- 2,091
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2
votes
3 answers
How to use recipes package to replace missing values with a constant
I can't figure out how to use the recipes package to replace missing numeric variables with a constant.
I did think about using step_lowerimpute, but I don't think I will be able to use it for my case. step_lowerimpute replaces missing values below…
JoAnn Alvarez
- 87
- 11
1
vote
1 answer
Error in `step_log()`: When trying to make predictions with my model
I'm trying to make predictions with my testing data using my finalized workflow. But whenever I try using the predict function, it gives me this error:
Error in `step_log()`:
! The following required column is missing from `new_data` in step…
Chelsea Lu
- 11
- 1
1
vote
2 answers
Use custom distance in step_umap function (tidymodels)
I'm trying to create a recipe (preprocess for Xgboost model) which will use a custom metric (dice).
Here is my code :
Dice function and distance matrix
dice <- function(x,y){
n1 <- sum(x==1 & y==0); n2 <- sum(x==0 & y==1)
n3 <- sum(x==1 & y==1)
…
Benco016
- 91
- 1
- 5
1
vote
2 answers
How to extract predictors from parsnip fit object
I have the following prediction model:
library(tidymodels)
data(ames)
set.seed(4595)
data_split <- initial_split(ames, strata = "Sale_Price", prop = 0.75)
ames_train <- training(data_split)
ames_test <- testing(data_split)
rec <-…
littleworth
- 4,781
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1
vote
1 answer
Custom recipe fails at prep
I have built custom recipes that I use in two of my packages. I suspect the issue may be the same across all. I will start with this one where the issue I am getting is at prep time as it is saying that the variable types are incorrect.
Here is the…
MCP_infiltrator
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1
vote
1 answer
Get the proportion of the variance explained in a plsda with recipes
I try to compute the proportion of the variance explained by each component in a PLSDA, using the tidymodels framework.
Here's the "gold standard" result with the mixOmics package:
library(mixOmics)
mix_plsda <- plsda(X = iris[-5], Y =…
abichat
- 2,317
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1
vote
1 answer
How do space-filling parameter grids change when we call them by parsnip and recipe packages?
According to this (https://dials.tidymodels.org/reference/grid_max_entropy.html) page, the output of a grid function may vary depending on whether we use a parameter object produced by parsnip and recipes, or we directly use a parameter object.…
Salivan
- 157
- 7
1
vote
1 answer
How to Exclude a Char Variable from recipes::step_dumm()?
How do I keep a character ID variable PERSON_ID unchanged in a recipe? I tried update_role(PERSON_ID , new_role = "id variable") and tried excluding it from step_dummy step_dummy(all_nominal_predictors(), -all_numeric_predictors(), -all_outcomes(),…
poshan
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1
vote
0 answers
How to apply inverse hyperbolic sine using the repices package in R?
I am exploring the recipes package to prepare my data for linear regression. But even a simple transformation of two variables using inverse hyperbolic sine does not yield the results I am expecting. What am I getting wrong…
dufei
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