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@@ -18,13 +18,64 @@ all_disk()
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all_disk_predictors()
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step_mic_log2(recipe, ..., role = NA, trained = FALSE, columns = NULL,
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skip = FALSE, id = recipes::rand_id("mic_log2"))
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step_mic_log2(
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recipe,
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...,
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role = NA,
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trained = FALSE,
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columns = NULL,
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skip = FALSE,
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id = recipes::rand_id("mic_log2")
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)
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step_sir_numeric(recipe, ..., role = NA, trained = FALSE, columns = NULL,
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skip = FALSE, id = recipes::rand_id("sir_numeric"))
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step_sir_numeric(
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recipe,
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...,
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role = NA,
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trained = FALSE,
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columns = NULL,
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skip = FALSE,
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id = recipes::rand_id("sir_numeric")
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)
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```
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## Arguments
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- recipe:
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A recipe object. The step will be added to the sequence of operations
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for this recipe.
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- ...:
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One or more selector functions to choose variables for this step. See
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[`selections()`](https://recipes.tidymodels.org/reference/selections.html)
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for more details.
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- role:
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Not used by this step since no new variables are created.
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- trained:
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A logical to indicate if the quantities for preprocessing have been
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estimated.
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- skip:
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A logical. Should the step be skipped when the recipe is baked by
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[`bake()`](https://recipes.tidymodels.org/reference/bake.html)? While
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all operations are baked when
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[`prep()`](https://recipes.tidymodels.org/reference/prep.html) is run,
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some operations may not be able to be conducted on new data (e.g.
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processing the outcome variable(s)). Care should be taken when using
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`skip = TRUE` as it may affect the computations for subsequent
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operations.
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- id:
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A character string that is unique to this step to identify it.
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## Details
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You can read more in our online [AMR with tidymodels
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@@ -127,13 +178,13 @@ if (require("tidymodels")) {
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}
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#> Loading required package: tidymodels
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#> ── Attaching packages ────────────────────────────────────── tidymodels 1.5.0 ──
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#> ✔ broom 1.0.12 ✔ rsample 1.3.2
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#> ✔ dials 1.4.3 ✔ tailor 0.1.0
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#> ✔ broom 1.0.13 ✔ rsample 1.3.2
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#> ✔ dials 1.4.4 ✔ tailor 0.1.0
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#> ✔ infer 1.1.0 ✔ tidyr 1.3.2
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#> ✔ modeldata 1.5.1 ✔ tune 2.1.0
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#> ✔ parsnip 1.5.0 ✔ workflows 1.3.0
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#> ✔ parsnip 1.6.0 ✔ workflows 1.3.0
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#> ✔ purrr 1.2.2 ✔ workflowsets 1.1.1
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#> ✔ recipes 1.3.2 ✔ yardstick 1.4.0
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#> ✔ recipes 1.3.3 ✔ yardstick 1.4.0
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#> ── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ──
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#> ✖ purrr::discard() masks scales::discard()
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#> ✖ dplyr::filter() masks stats::filter()
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