<div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr">Hi Moritz,<div><br></div><div>Thank you! it worked. </div><div><br></div><div>I did not find the line nor similar lines of 'features <- na.omit(features)' in the v.class.mlR script/ R_script4 file. </div><div><br></div><div>Best,</div><div>Jamille </div></div></div></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Apr 15, 2019 at 11:09 AM Moritz Lennert <<a href="mailto:mlennert@club.worldonline.be">mlennert@club.worldonline.be</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Hi Jamille,<br>
<br>
On 15/04/19 14:49, Jamille Haarloo wrote:> Dear Moritz and other Grass- <br>
users and developers,<br>
><br>
> I tried dealing with the error myself by changing predicted <-<br>
> data.frame(predict(<a href="http://models.cv" rel="noreferrer" target="_blank">models.cv</a> <<a href="http://models.cv" rel="noreferrer" target="_blank">http://models.cv</a>>, features)) into<br>
> predicted <- data.frame(predict(<a href="http://models.cv" rel="noreferrer" target="_blank">models.cv</a> <<a href="http://models.cv" rel="noreferrer" target="_blank">http://models.cv</a>>, features,<br>
> na.action = na.exclude)), based on discussions online implying some<br>
> predictions might be invalid NaN values. I checked the script output to<br>
> see if this change was implemented and it was, but I get the same error.<br>
> Any suggestions what to try next?><br>
> ------------------------------<br>
> v.class.mlR -i --overwrite segments_map=nvSegW24IDM4DV4@LUP1<br>
> training_map=TrainingApril2019@LUP1 train_class_column=class_code<br>
> output_class_column=output_class output_prob_column=probability<br>
> classifiers=svmLinear,rf,xgbTree folds=5 partitions=10 tunelength=10<br>
> weighting_modes=bwwv,qbwwv weighting_metric=accuracy<br>
> <br>
classification_results=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\results_all_classifiers <br>
<br>
> <br>
accuracy_file=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\accuracy_classifiers <br>
<br>
> <br>
model_details=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\details_classifier_module_runs <br>
<br>
> <br>
bw_plot_file=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\box-whicker_classifier_performance <br>
<br>
> <br>
r_script_file=C:\Users\haarlooj\Documents\CELOS\v.class.mlr_outputapril2019\R_script4 <br>
<br>
> processes=3<br>
Normally, there should be no NA in the features as there is a line:<br>
<br>
features <- na.omit(features)<br>
<br>
early in the R script. Can you see it in the R_script4 file ?<br>
<br>
<br>
> Running R now. Following output is R output.<br>
> During startup - Warning messages:<br>
> 1: Setting LC_CTYPE=en_US.cp1252 failed<br>
> 2: Setting LC_COLLATE=en_US.cp1252 failed<br>
> 3: Setting LC_TIME=en_US.cp1252 failed<br>
> 4: Setting LC_MONETARY=en_US.cp1252 failed<br>
> Loading required package: caret<br>
> Loading required package: lattice<br>
> Loading required package: ggplot2<br>
> Warning messages:<br>
> 1: package 'caret' was built under R version 3.5.3<br>
> 2: package 'ggplot2' was built under R version 3.5.3<br>
> Loading required package: foreach<br>
> Loading required package: iterators<br>
> Loading required package: parallel<br>
> Warning messages:<br>
> 1: package 'doParallel' was built under R version 3.5.3<br>
> 2: package 'foreach' was built under R version 3.5.3<br>
> 3: package 'iterators' was built under R version 3.5.3<br>
> During startup - Warning messages:<br>
> 1: Setting LC_CTYPE=en_US.cp1252 failed<br>
> 2: Setting LC_COLLATE=en_US.cp1252 failed<br>
> 3: Setting LC_TIME=en_US.cp1252 failed<br>
> 4: Setting LC_MONETARY=en_US.cp1252 failed<br>
> During startup - Warning messages:<br>
> 1: Setting LC_CTYPE=en_US.cp1252 failed<br>
> 2: Setting LC_COLLATE=en_US.cp1252 failed<br>
> 3: Setting LC_TIME=en_US.cp1252 failed<br>
> 4: Setting LC_MONETARY=en_US.cp1252 failed<br>
> During startup - Warning messages:<br>
> 1: Setting LC_CTYPE=en_US.cp1252 failed<br>
> 2: Setting LC_COLLATE=en_US.cp1252 failed<br>
> 3: Setting LC_TIME=en_US.cp1252 failed<br>
> 4: Setting LC_MONETARY=en_US.cp1252 failed<br>
> Error in data.frame(id = rownames(features), predicted) :<br>
> arguments imply differing number of rows: 17851, 17849<br>
> Execution halted<br>
IDs are taken from the features and for some reasons there are two <br>
features which do not have a prediction. It might help if you could find <br>
out why.<br>
<br>
I cannot test right now, but you might want to check if you can replace<br>
<br>
ids <- rownames(features)<br>
<br>
with something like<br>
<br>
ids <- rownames(predicted)<br>
<br>
?<br>
<br>
Moritz<br>
</blockquote></div>