orbital() has gained type argument to change prediction type. (#66)
orbital() now works with logistic_reg(engine = "glm") models for class prediction and probability predictions. (#62, #66)
orbital() now works with boost_tree(engine = "xgboost") models for class prediction and probability predictions. (#71)
orbital() now works with decision_tree(engine = "partykit") models for class prediction and probability predictions. (#77)
augment() method for orbital() object have been added. (#55)
orbital() gained prefix argument to allow for renaming of prediction columns. (#59)
Support for step_dummy(), step_impute_mean(), step_impute_median(), step_impute_mode(), step_unknown(), step_novel(), step_other(), step_BoxCox(), step_inverse(), step_mutate(), step_sqrt(), step_indicate_na(), step_range(), step_intercept(), step_ratio(), step_lag(), step_log(), step_rename() has been added. (#17)
Support for step_upsample(), step_smote(), step_smotenc(), step_bsmote(), step_adasyn(), step_rose(), step_downsample(), step_nearmiss(), and step_tomek() has been added. (#21)
Support for step_bin2factor(), step_discretize(), step_lencode_mixed(), step_lencode_glm(), step_lencode_bayes() has been added. (#22)
Support for step_pca_sparse(), step_pca_sparse_bayes() and step_pca_truncated() as been added. (#23)
orbital() now works on tune::last_fit() objects. (#13)
orbital_predict() has been removed and replaced with the more idiomatic predict() method. (#10)