The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 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_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
NEWS.md
file to track changes to the package.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.