None
quantile_normalize().check_duplicate_rows().extract_tunable_params().plot_regression_predictions().None
plot_regression_residuals() to
plot the residuals.plot_regression_predictions()
to plot the predictions from the function
extract_wflw_predictions()load_deps()fast_regression() and
fast_classification() to drop NULL predictions.None
extract_regression_residuals().drop_na to
fast_classification() and
fast_regression().discrimmdasdasparsediscrimliquidSVMkernlabklaRinternal_make_wflw_predictions()
to include all data
magrittr from Imports of
DESCRIPTION file from #150.internal_make_spec_tbl() now adds a class to
each model_spec created by parsnip, for
example, a gee engine setting using
linear_reg() will return an extra class of
gee_linear_reggee, glmnet, and
rules to the core_packages() function.create_model_spec()tidyaml_base_tbl to the output of
create_model_spec()internal_set_args_to_tune() to use
dplyr::pick() instead of dplyr::cur_data()
since it was deprecated.internal_set_args_to_tune() to use
!names(new_mod_args) instead of !names(.)tidymodels::tidymodels_prefer()internal_make_wflw_gee_lin_reg()full_internal_make_wflwfast_classification() and
fast_regression() to use
full_internal_make_wflw()None
create_model_spec() function.create_model_spec()internal_make_wflw_predictions() to use
recipes::testing() instead of
recipes::training()None
make_regression_base_tbl()make_classification_base_tbl()internal_make_spec_tbl()internal_set_args_to_tune()create_workflow_set()get_model()extract_model_spec()extract_wflw()extract_wflw_fit()extract_wflw_pred()match_args()fast_classification_parsnip_spec_tbl()
and fast_regression_parsnip_spec_tbl() to use the
make_regression and
make_classification functions.fast_classification_parsnip_spec_tbl() and
fast_regression_parsnip_spec_tbl() to use the
internal_make_spec_tbl() function.internal_make_spec_tbl()fast_classification_parsnip_spec_tbl()fast_classification()None
None
core_packages()
install_deps(), and load_deps()None
None
fast_regression_parsnip_spec_tbl()create_splits()fast_regression()create_model_spec()internal_make_wflw(),
internal_make_fitted_wflw(),
internal_make_wflw_predictions()None
None
NEWS.md file to track changes to the
package.