The supported methods currently all come from tidypredict right now.
This table doesn’t exhaustively list fully unsupported models. Please file an issue to add model to table.
| Supported Prediction Types | ||||
|
Model
|
Regression
|
Classification
|
||
|---|---|---|---|---|
| parsnip | engine | numeric | class | prob |
boost_tree() |
"catboost" |
✅ | ✅ | ✅ |
boost_tree() |
"lightgbm" |
✅ | ✅ | ✅ |
boost_tree() |
"xgboost" |
✅ | ✅ | ✅ |
cubist_rules() |
"Cubist" |
✅ | ❌ | ❌ |
decision_tree() |
"partykit" |
✅ | ✅ | ✅ |
decision_tree() |
"rpart" |
✅ | ✅ | ✅ |
linear_reg() |
"lm" |
✅ | ❌ | ❌ |
linear_reg() |
"glmnet" |
✅ | ❌ | ❌ |
logistic_reg() |
"glm" |
❌ | ✅ | ✅ |
logistic_reg() |
"glmnet" |
❌ | ✅ | ✅ |
mars() |
"earth" |
✅ | ✅ | ✅ |
multinom_reg() |
"glmnet" |
❌ | ✅ | ✅ |
naive_Bayes() |
"naivebayes" |
❌ | ⚪ | ⚪ |
nearest_neighbor() |
any |
❌ | ❌ | ❌ |
rand_forest() |
"randomForest" |
✅ | ✅ | ✅ |
rand_forest() |
"ranger" |
✅ | ✅ | ✅ |
| ✅: Supported | ||||
| ❌: Cannot be supported | ||||
| ⚪: Not yet supported | ||||
The following 52 recipes steps are supported
step_BoxCox()step_YeoJohnson()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_spline_b()step_spline_convex()step_spline_monotone()step_spline_natural()step_spline_nonnegative()step_sqrt()step_tomek()step_unknown()step_upsample()step_zv()The following 4 tailor methods are supported
tailor::adjust_equivocal_zone()tailor::adjust_numeric_range()tailor::adjust_predictions_custom()tailor::adjust_probability_threshold()
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