- fix bug in predict.simple_ensemble where weights were ignored for "weighted mean"
- implement better prediction logic for
repeat_ensembles, grouping by repeat - implement
calib_class_threshmethod forrepeat_ensembles - implement
collect_calib_threshmethod forrepeat_ensembles - resolve conflicting coords names in
thin_by_cell() - make sure that coords name is passed on by
thin_by_cell_time() - extend support for all methods from
blockCV, and allow the creation of an initial split from ablockCVobject
- improve documentation of
calib_class_thresholdand implementcollect_calib_thresh - update saved objects to the new version of
xgboost
- add
mgcvto suggested packages to deal with upcoming changes inggplot24.0.0
- when using
predict_raster(), process the raster in chunks if it is too large to fit in memory. - run tests relying on suggested packages on if those packages are already installed
- add interoperability with
stars(thanks to @btupper) - fixed inverted plots for
explain_tidysdmwhen plotting for all workflows. - when using
explain_tidysdmwith a recipe that contains steps, data have to be passed explicitly to thedataargument - implement
make_mask_from_presenceto define the area of interest - check time units of rasters for
sample_background_time()andsample_pseudo_absences_time()(thanks to @zpmdal) - show the use of map projections in the overview vignette, and make sure that
projections are properly handled in functions such as
thin_by_cellandthin_by_dist
- implement clamping and MESS to manage extrapolation
- clearly separate sampling of background vs pseudo-absences
- update vignettes
- fix a but in the
predict*functions that prevented a fixed threshold to be used to assign classes - ensure compatibility with upcoming changes in
tune
- fix bug in
filter_high_cordue to changes interra1.6.75 - implement
collect_metricsfor ensembles.
- Release on CRAN
- Add a
spatial_recipeclass. This is a BREAKING change that makes previously saved objects unusable, but old code will work as expected. - Additional articles showing how to use additional
tidymodelsfeatures, and how to debug errors. - Integration of DALEX to explain models.
- More functions to select variables.
- Initial release on GitHub.