Dear list members, I am fitting an Ensemble Machine Learning with the R package landmap, using the function train.spLearner, the resulting object is large 2.5 GB, and when I tried to predict I I got the message of memory exhausted.
I have only 14 points and 23 covariables, in a very small area. Using R 3.6.1 MacOS, 16GB of ram pred_co <- predict(m_co) Error: vector memory exhausted (limit reached?) Error during wrapup: vector memory exhausted (limit reached?) -- *Manuel Spínola, Ph.D.* Instituto Internacional en Conservación y Manejo de Vida Silvestre Universidad Nacional Apartado 1350-3000 Heredia COSTA RICA mspin...@una.cr <mspin...@una.ac.cr> mspinol...@gmail.com Teléfono: (506) 8706 - 4662 Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/> [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
