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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)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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