Nothing
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()
.discrim
mda
sda
sparsediscrim
liquidSVM
kernlab
klaR
internal_make_wflw_predictions()
to include all datamagrittr
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_reg
gee
, 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_wflw
fast_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
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