Nothing
## -----------------------------------------------------------------------------
if (!rlang::is_installed(c("gt", "tibble"))) {
knitr::knit_exit()
}
## -----------------------------------------------------------------------------
library(gt)
library(dplyr)
tibble::tribble(
~parsnip, ~engine, ~numeric, ~class, ~prob,
"`boost_tree()`", "`\"xgboost\"`", "✅", "✅", "✅",
"`cubist_rules()`", "`\"Cubist\"`", "✅", "❌", "❌",
"`decision_tree()`", "`\"partykit\"`", "✅", "✅", "✅",
"`linear_reg()`", "`\"lm\"`", "✅", "❌", "❌",
"`linear_reg()`", "`\"glmnet\"`", "⚪", "❌", "❌",
"`logistic_reg()`", "`\"glm\"`", "❌", "✅", "✅",
"`logistic_reg()`", "`\"glmnet\"`", "❌", "⚪", "⚪",
"`mars()`", "`\"earth\"`", "✅", "⚪", "⚪",
"`naive_Bayes()`", "`\"naivebayes\"`", "❌", "⚪", "⚪",
"`nearest_neighbor()`", "`any`", "❌", "❌", "❌",
"`rand_forest()`", "`\"randomForest\"`", "✅", "⚪", "⚪",
"`rand_forest()`", "`\"ranger\"`", "✅", "⚪", "⚪"
) |>
gt() |>
tab_spanner(
label = "Model",
columns = c(parsnip, engine)
) |>
tab_spanner(
label = "Regression",
columns = c(numeric)
) |>
tab_spanner(
label = "Classification",
columns = c(class, prob)
) |>
tab_header(
title = "Supported Prediction Types"
) |>
cols_align(
"center",
columns = c(numeric, class, prob)
) |>
tab_footnote("✅: Supported") |>
tab_footnote("❌: Cannot be supported") |>
tab_footnote("⚪: Not yet supported") |>
fmt_markdown(
columns = c(parsnip, engine)
)
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup--------------------------------------------------------------------
library(orbital)
## -----------------------------------------------------------------------------
all_funs <- ls(getNamespace("orbital"))
steps <- grep("orbital.step_", all_funs, value = TRUE)
steps <- gsub("orbital.", "", steps)
## ----results='asis'-----------------------------------------------------------
cat(paste0("- `", steps, "()`\n"))
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