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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.
They may not be fully stable and should be used with caution. We make no claims about them.
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