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$predict_newdata() and
predict_spatial() work without optional column roles like
coordinate now.X and Y columns
are present in an sf objectterra::inMemory() function instead of
@ptr.spatial_predict() accepts
SpatRaster, stars sf
RasterStack and RasterBrick objects now. A
mlr3::TaskUnsupervised can still be passed but the argument
name changed from task to newdata.rgdal dependency and require
raster version 3.6-11.spatial_predict()."space" and "time" column role
from mlr3spatiotempcvTaskClassifST and
TaskRegrST are used to train a learner with spatial data.
The new tasks unify the work with mlr3spatiotempcv.TaskUnsupervised is used to predict on
rasters objects now. The new task type is more convenient for data
without a response.as_task_regr_st() and
as_task_classif_st() from spatial objects.as_task_unsupervised() from raster
objects.leipzig with land cover target.data("leipzig") loads an sf object
with land cover in Leipzig.extdata
folder.DataBackendDataTable now and DataBackendVector
is removed.DataBackendRaster cannot be created
from RasterLayer objects anymore.spatial_predict() returned an unnamed
response.spatial_predict() wrote predictions to the wrong
cell.demo_raster(),
demo_stack_spatraster(),
demo_stack_rasterbrick() and
demo_rasterbrick() functions.NA at raster cells with
NA values in one or more feature layers.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.