Comments (2)
Thanks for reporting this bug so very long ago @tmastny! Since we have moved to using recipes::recipes_eval_select()
in embed (or possibly sooner TBH) this problem has been resolved.
library(recipes)
#> Loading required package: dplyr
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
#>
#> Attaching package: 'recipes'
#> The following object is masked from 'package:stats':
#>
#> step
library(embed)
data(PimaIndiansDiabetes, package = "mlbench")
d <- PimaIndiansDiabetes
d <- d %>%
as_tibble() %>%
select(diabetes, everything())
# make factor variables
d <- d %>%
mutate(mass_fct = factor(ifelse(mass > 30, "large", "small"))) %>%
mutate(pregnant_fct = as.factor(pregnant)) %>%
mutate(pressure_fct = factor(case_when(
pressure < 30 ~ "low",
between(pressure, 30, 50) ~ "medium",
pressure > 50 ~ "high"
))) %>%
mutate(triceps_fct = factor(ifelse(triceps > 0, "has", "none"))) %>%
mutate(insulin_fct = factor(insulin)) %>%
mutate(age_fct = factor(age))
embed_rec <- recipe(diabetes ~ ., d) %>%
step_woe(mass_fct, outcome = vars(diabetes)) %>%
step_lencode_glm(pressure_fct, outcome = vars(diabetes))
prep(embed_rec, d)
#> Recipe
#>
#> Inputs:
#>
#> role #variables
#> outcome 1
#> predictor 14
#>
#> Training data contained 768 data points and no missing data.
#>
#> Operations:
#>
#> WoE version against outcome structure(list(~diabetes), .Names = "", class = c("quosures",
#> "list")) for mass_fct [trained]
#> Linear embedding for factors via GLM for pressure_fct [trained]
Created on 2021-11-19 by the reprex package (v2.0.1)
We are aware of the strange printing for step_woe()
and are tracking that in #92
from embed.
This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.
from embed.
Related Issues (20)
- Metrice argument for step_umap function HOT 2
- Custom metric for step_umap HOT 2
- Upkeep for embed HOT 1
- remove tidyr_new_interface() check HOT 1
- Test that all tunable.step_*() are specified correctly HOT 1
- Use rlang errors HOT 1
- step_embed() should have `keep_original_cols` argument HOT 1
- Release embed 1.1.0 HOT 1
- Add missing infrastructure tests HOT 1
- Release embed 1.1.1 HOT 1
- new parameters for step_lencode_glm
- Release embed 1.1.2 HOT 1
- remove less_than_3.6 code in tests
- User defined cuts for tree-based methods
- step_discretize_kmeans()
- step_poisson_matric_factorization() HOT 1
- Steps idea: Dealing with correlation
- Release embed 1.1.3 HOT 1
- Release embed 1.1.4 HOT 1
- embed:::tunable.step_umap does not include target_weight in tunable params HOT 1
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