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fix: DataBackendRaster no longer errors with [names<-] incorrect number of names when a subset of layers is read from a shared multi-band source file.
fix: DataBackendRaster no longer errors when raster layers have partially matching names, e.g. predict_spatial() failed with layers named "test_name" and "test_name2" (#94).
feat: predict_spatial() supports probability predictions now. Train a classification learner with predict_type = "prob" to get one raster layer or one vector column per class.