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This was referenced in a [Community issue](https://community.rstudio.com/t/error-in-fit-xy-with-gam-model/143065) previously, but the error resulting from not using a model formula with GAMs is a head…
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I've been running into problems with necessary objects not being brought along when tuning workflows. This crops up in two places. Below is an example with a function defined in a script and used in `…
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Reprex taken from https://github.com/tidymodels/tune/pull/703, potentially to be made more minimal
``` r
library(tidymodels)
library(censored)
#> Loading required package: survival
data("mlc_…
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It is possible that a particular model does not have a standard way of getting residuals. For example we can have a linear model using the engine `"lm"` and the fns `linear_reg()` and it is possible t…
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There seems to have been a reversion sometime since [this Stack Exchange answer](https://stackoverflow.com/a/37953308/7318214) was given; now when I make a new package `hello` using
`hello/R/hello.…
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in the Python version, for classification we don't save the object that we would ask for `best_params_` from, so unless students read the regression chapter and extrapolate to that they will have a ha…
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When using a tunable model like `logistic_reg(penalty=tune(), mixture=tune()) %>%
set_engine("glmnet")` and multi-dimensional grid like `grid_regular(penalty(), mixture(), levels=5)`, there are 25 …
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Deprecated `map_dfc()`. Let's open a new issue to rewrite this, as this is unrelated to this PR. :)
_Originally posted by @simonpcouch in https://github.com/tidymodels/recipes/pull/11…
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Hi,
Pipe operator `mlr3pipelines::PipeOpTextVectorizer` is painfully slow in comparison with `quanteda::dfm()`:
````
library(mlr3)
library(mlr3learners)
library(mlr3pipelines)
library(quante…
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You need a large dataset for this (not sure which built-in datasets are large enough). The ranger fit should produce progress messages like
```
Growing trees.. Progress: 16%. Estimated remaining ti…