The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
future::values
given its
deprecation.glmnet
to package Suggests
since used in the vignette.future.apply
by including
future.seed = TRUE
, as per
https://github.com/tlverse/origami/issues/48.folds_rolling_origin_pooled
and
folds_rolling_window_pooled
, as per
https://github.com/tlverse/origami/pull/50.lapply
.folds_rolling_origin_pooled
,
folds_rolling_window_pooled
,
folds_vfold_rolling_origin_pooled
,
folds_vfold_rolling_window_pooled
) now allow for
variability in the number of observations for each independent unit
(i.e., the subject).folds_rolling_origin_pooled
,
folds_rolling_window_pooled
,
folds_vfold_rolling_origin_pooled
,
folds_vfold_rolling_window_pooled
.tests/testthat/test-overall.R
to use appropriate
hard-coded values that depend on the R version. Note that these differ
between R < 3.6.0 and R > 3.6.0 due to an important change in the
default PRNG.folds2foldvec
for easy conversion
between the folds structure used by origami
and other
packages (e.g., glmnet
).lapply
instead of
future_lapply
, for compatibility with other packages in a
custom parallelization framework.future_lapply
from the new more modular package
future.apply
rather than from future
, matching
the author’s recommendation.origami_SuperLearner
functionality
temporarily.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.
Health stats visible at Monitor.