Hi Moritz, Thank you! it worked.
I did not find the line nor similar lines of 'features <- na.omit(features)' in the v.class.mlR script/ R_script4 file. Best, Jamille On Mon, Apr 15, 2019 at 11:09 AM Moritz Lennert < mlenn...@club.worldonline.be> wrote: > Hi Jamille, > > On 15/04/19 14:49, Jamille Haarloo wrote:> Dear Moritz and other Grass- > users and developers, > > > > I tried dealing with the error myself by changing predicted <- > > data.frame(predict(models.cv <http://models.cv>, features)) into > > predicted <- data.frame(predict(models.cv <http://models.cv>, features, > > na.action = na.exclude)), based on discussions online implying some > > predictions might be invalid NaN values. I checked the script output to > > see if this change was implemented and it was, but I get the same error. > > Any suggestions what to try next?> > > ------------------------------ > > v.class.mlR -i --overwrite segments_map=nvSegW24IDM4DV4@LUP1 > > training_map=TrainingApril2019@LUP1 train_class_column=class_code > > output_class_column=output_class output_prob_column=probability > > classifiers=svmLinear,rf,xgbTree folds=5 partitions=10 tunelength=10 > > weighting_modes=bwwv,qbwwv weighting_metric=accuracy > > > classification_results=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\results_all_classifiers > > > > > accuracy_file=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\accuracy_classifiers > > > > > model_details=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\details_classifier_module_runs > > > > > bw_plot_file=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\box-whicker_classifier_performance > > > > > r_script_file=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\R_script4 > > > > processes=3 > Normally, there should be no NA in the features as there is a line: > > features <- na.omit(features) > > early in the R script. Can you see it in the R_script4 file ? > > > > Running R now. Following output is R output. > > During startup - Warning messages: > > 1: Setting LC_CTYPE=en_US.cp1252 failed > > 2: Setting LC_COLLATE=en_US.cp1252 failed > > 3: Setting LC_TIME=en_US.cp1252 failed > > 4: Setting LC_MONETARY=en_US.cp1252 failed > > Loading required package: caret > > Loading required package: lattice > > Loading required package: ggplot2 > > Warning messages: > > 1: package 'caret' was built under R version 3.5.3 > > 2: package 'ggplot2' was built under R version 3.5.3 > > Loading required package: foreach > > Loading required package: iterators > > Loading required package: parallel > > Warning messages: > > 1: package 'doParallel' was built under R version 3.5.3 > > 2: package 'foreach' was built under R version 3.5.3 > > 3: package 'iterators' was built under R version 3.5.3 > > During startup - Warning messages: > > 1: Setting LC_CTYPE=en_US.cp1252 failed > > 2: Setting LC_COLLATE=en_US.cp1252 failed > > 3: Setting LC_TIME=en_US.cp1252 failed > > 4: Setting LC_MONETARY=en_US.cp1252 failed > > During startup - Warning messages: > > 1: Setting LC_CTYPE=en_US.cp1252 failed > > 2: Setting LC_COLLATE=en_US.cp1252 failed > > 3: Setting LC_TIME=en_US.cp1252 failed > > 4: Setting LC_MONETARY=en_US.cp1252 failed > > During startup - Warning messages: > > 1: Setting LC_CTYPE=en_US.cp1252 failed > > 2: Setting LC_COLLATE=en_US.cp1252 failed > > 3: Setting LC_TIME=en_US.cp1252 failed > > 4: Setting LC_MONETARY=en_US.cp1252 failed > > Error in data.frame(id = rownames(features), predicted) : > > arguments imply differing number of rows: 17851, 17849 > > Execution halted > IDs are taken from the features and for some reasons there are two > features which do not have a prediction. It might help if you could find > out why. > > I cannot test right now, but you might want to check if you can replace > > ids <- rownames(features) > > with something like > > ids <- rownames(predicted) > > ? > > Moritz >
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