orbital 0.3.1
CRAN release: 2025-08-30
Fixed bug where PCA steps didn’t work if they were trained with more than 99 predictors. (#82)
step_pca_sparse()no longer generate code with terms with 0 in them. (#51)Fixed bugs in all PCA steps where an error occurred depending on which predictors were selected. (#52)
Fixed bug where large PCA results wouldn’t work with data bases. (#84)
orbital 0.3.0
CRAN release: 2024-12-22
orbital()has gainedtypeargument to change prediction type. (#66)orbital()now works withlogistic_reg(engine = "glm")models for class prediction and probability predictions. (#62, #66)orbital()now works withboost_tree(engine = "xgboost")models for class prediction and probability predictions. (#71)orbital()now works withdecision_tree(engine = "partykit")models for class prediction and probability predictions. (#77)augment()method fororbital()object have been added. (#55)orbital()gainedprefixargument to allow for renaming of prediction columns. (#59)
orbital 0.2.0
CRAN release: 2024-07-28
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(), andstep_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()andstep_pca_truncated()as been added. (#23)orbital_predict()has been removed and replaced with the more idiomaticpredict()method. (#10)
