Hi, I'm trying to apply a supervised regression following the example at https://mlr3spatial.mlr-org.com/articles/mlr3spatial.html In my case the response variable is a presence-absence (0/1) raster file with many NA values
task = as_task_regr <https://mlr3.mlr-org.com/reference/as_task_regr.html>(backend, target = "presence-absence") print <https://rdrr.io/r/base/print.html>(task)#> <TaskRegr:backend> (122848 x 6)#> * Target: presence-absence#> * Properties: -#> * Features (5):#> - dbl (5): band2, band3, band4, band5, band6 At this point I need to extract the row_ids where presence-absence != NA in order to fill the learner$train(task, row_ids = row_ids) I have tried to search for an example but I could not find one. Can anyone help me? Thanks -- Giuseppe Amatulli, Ph.D. Research scientist at School of the Environment Yale University New Haven, CT, USA - 06511 Twitter: @BigDataEcology Teaching: http://spatial-ecology.net Work: https://environment.yale.edu/profile/giuseppe-amatulli/ [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
