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ppoints param in {CAST} functions to predpoints to adhere with the upstream package renaming (#237)autoplot() functions (#231).autoplot() sub-functions.label_size to “spcv_block” to make label size configurable (#227)show_omitted for “spcv_buffer” method (#228)label support for built-in tasksTaskClassifST or TaskRegrST from an sf objectTaskClassifST or TaskRegrST with {mlr3spatial}mlr_reflections changes in {mlr3} > 0.13.4autoplot.ResamplingSptCVCstf(): Add missing support for argument axis_label_fontsize for x and y axesautoplot.ResamplingSptCVCstf: when multiple folds are requested, the subplots are now returned again (before, the return was empty)autoplot.ResamplingSptCVCstf: the legend item for the “omitted” observations now displays the correct color and label againcookfarm to cookfarm_mlr3. This was done to distinguish the cookfarm task implementation in {mlr3} better from the original cookfarm dataset. cookfarm_mlr3 also now comes with all rows of the upstream cookfarm task and not with a random subset as before.mlr_resampling_spctcv_cstf implementation. The method will produce different fold results compared to {mlr3spatiotempcv} <= 1.0.1. This is because of a change/fix in the sampling behavior: before, an (unwanted) stratified sampling was done on time and space variables. While this matched the upstream implementation in {CAST}, this did not match with the actual theoretical underpinning described in the literature.TaskClassifST$new() and TaskRegrST$new() only accepts DataBackendDataTable. Support for sf objects has moved to as_task_*_st() which accepts sf objects directly and creates the DataBackend behind the scenes.DataBackendRaster (@be-marc, #191).mlr_resampling_spctcv_cstf: a log message returns the column roles from the Task which are used for partitioningTask*ST classes now print column roles space and time (if set) (#198)autoplot() gains plot_time_var argument for 3D visualizations of mlr_resamplings_sptcv_cstf resamplings with only ‘space’ used for partitioning (#197)cookfarm_mlr3 task now sets column roles “space” and “time” for variables SOURCEID and Date, respectively.autoplot() support for "groups" column role in rsmp("cv")autoplot(): removed argument crs. The CRS is now inferred from the supplied Task. Setting a different CRS than the task might lead to spurious issues and the initial idea of changing the CRS for plotting to have proper axes labeling does not apply (anymore) (#144)autoplot() support for ResamplingCustomCV (#140)"spcv_block": Assert error if folds > 2 when selection = "checkerboard" (#150)TaskRegrST tasks from sf objects (#152)"spcv_block" since it is required in {blockCV} >= 2.1.4 and {sf} >= 1.0"sptcv_cluto"as_task_* S3 generics: as_task_classif_st.data.frame(), as_task_classif_st.DataBackend(), as_task_classif_st.sf(), as_task_regr_st.data.frame(), as_task_regr_st.DataBackend(), as_task_regr_st.sf(), as_task_classif.TaskClassifST(), as_task_regr.TaskRegrST() (#99)"spcv_tiles" and "repeated_spcv_tiles" (#121)"spcv_disc" (#115)sptcv_cstf() with space and time var (#135)$folds() active binding returning wrong fold number (#120)man IDs (#122)autoplot.ResamplingSptCVCstf(): add 2D plotting method (#106)autoplot.ResamplingSptCVCstf(): add arguments show_omitted and static_image (#100)autoplot() (all methods): allow adjusting point size via ... (#98)cookfarm dataset standaloneCstf method for spatiotemporal viz vignetteResamplingRepeatedSptCVCstf (beforehand the Cluto method was referenced accidentally)autoplot.ResamplingSpcvBlock example when rendering pkgdown site (unclear why this happens when show_labels = TRUE)autoplot() examples and related documentationrasterLayer argument in blockCV::spatialBlock() (#94)blockCV::spatialBlock() functions actually returns the same result when invoked via {mlr3spatiotempcv} (#93). Among other issues, blockCV::spatialBlock(selection = "checkerboard") was ignored.These binaries (installable software) and packages are in development.
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