Supported Models and recipes steps

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Supported models

This table doesn’t exhaustively list fully unsupported models. Please file an issue to add model to table.

Model		Regression	Classification
Supported Prediction Types
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"`	✅	⚪	⚪
✅: Supported
❌: Cannot be supported
⚪: Not yet supported

Recipes steps

The following 46 recipes steps are supported

step_BoxCox()
step_adasyn()
step_bin2factor()
step_bsmote()
step_center()
step_corr()
step_discretize()
step_downsample()
step_dummy()
step_filter_missing()
step_impute_mean()
step_impute_median()
step_impute_mode()
step_indicate_na()
step_intercept()
step_inverse()
step_lag()
step_lencode_bayes()
step_lencode_glm()
step_lencode_mixed()
step_lincomb()
step_log()
step_mutate()
step_nearmiss()
step_normalize()
step_novel()
step_nzv()
step_other()
step_pca()
step_pca_sparse()
step_pca_sparse_bayes()
step_pca_truncated()
step_range()
step_ratio()
step_rename()
step_rm()
step_rose()
step_scale()
step_select()
step_smote()
step_smotenc()
step_sqrt()
step_tomek()
step_unknown()
step_upsample()
step_zv()

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They may not be fully stable and should be used with caution. We make no claims about them.
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