[GRASS-user] v.class.mlR Error in data.frame : arguments imply differing number of rows

[Moritz Lennert]

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 at LUP1
 > training_map=TrainingApril2019 at 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