-
Predictions via
multi_predict()
for glmnet models now correctly default to mean counts instead of the linear predictor (#89). -
Predictions for a single observation now work for
poisson_reg()
with the"glmnet"
engine (#48). -
Removed the now obsolete registration of the
predict_raw()
generic as it is now exported from parsnip (#52). -
Removed the unused internal
s3_register()
function (#53). -
Tests on the model specification have been updated to the current testing pattern in parsnip and other extension packages (#55).
-
The
predict()
method for the"glmnet"
engine now checks the penalty value viaparsnip::.check_glmnet_penalty_predict()
instead of a copied version of the function (#57). -
Moved imports and declaration of global variables into the standard place (#59).
-
Tests are now self-contained (#60).
-
Predictions of type
"conf_int"
for the"stan"
engine now use the function suggested by rstanarm (#86). -
Removed obsolete check on supplying
newdata
as an argument topredict()
ormulti_predict()
(#87).
- Update to the .Rd files to generate valid HTML5
- Changes for using case weights with parsnip 1.0.0.
- Model definition functions (e.g.
poisson_reg()
) were moved to the parsnip package.
-
A default engine of
glm
was added forpoisson_reg()
. -
Added
tidy()
methods forpscl::hurdle()
andpscl::zeroinfl()
.
-
Work-around for a
glmnet
bug where different column order will silently produce incorrect predictions. -
multi_predict()
was enabled. -
Updates to go along with new version of
parsnip
.
- Added a
NEWS.md
file to track changes to the package.