Hi Jamille,
On 29/05/18 21:38, Jamille Haarloo wrote:
Dear GRASS GIS community,
I just started working with Grass to try some object-based analysis. I
do not have much experience with programming, but learning bits on the go.
The segmentation test with uspo appears to have been ok, but I am
struggling with the next step. I was suspecting the training vector
created in QGIS wasn't meeting proper standards, but I could not find a
straightforward Grass module for labeling segments/ creating a training
set file.
Hopefully someone can help me out.
Command output:
(Tue May 29 14:18:32 2018)
v.class.mlR -i --overwrite training_map=Training_Ben2@haarlooj_Ben_Test
segments_file=C:\Users\haarlooj\Documents\CELOS\Stats_Training_Ben_test
separator=comma
raster_segments_map=best_myregion1_at_haarlooj_Ben_Test_rank1@haarlooj_Ben_Test
train_class_column=code output_class_column=vote output_prob_column=prob
classifiers=svmRadial,rf,C5.0 folds=5 partitions=10 tunelength=10
weighting_modes=smv,qbwwv weighting_metric=accuracy
classification_results=X:\Projecten\Land-use Planning Marowijne\GIS en
RS\Werkfolder\GRASS\v.class.mIRR_optional_output\Ben_test_classifier-Results
accuracy_file=X:\Projecten\Land-use Planning Marowijne\GIS en
RS\Werkfolder\GRASS\v.class.mIRR_optional_output\Ben_Test_accuracy
model_details=X:\Projecten\Land-use Planning Marowijne\GIS en
RS\Werkfolder\GRASS\v.class.mIRR_optional_output\Ben_Test_ClassifierDetails
bw_plot_file=X:\Projecten\Land-use Planning Marowijne\GIS en
RS\Werkfolder\GRASS\v.class.mIRR_optional_output\Ben_test_classifier_performance
r_script_file=X:\Projecten\Land-use Planning Marowijne\GIS en
RS\Werkfolder\GRASS\v.class.mIRR_optional_output\Ben_test_R_script
processes=3
Running R now. Following output is R output.
Traceback (most recent call last):
File "C:\Users\haarlooj\AppData\Roaming\GRASS7\addons/scri
pts/v.class.mlR.py <http://v.class.mlR.py>", line 633, in <module>
main()
File "C:\Users\haarlooj\AppData\Roaming\GRASS7\addons/scri
pts/v.class.mlR.py <http://v.class.mlR.py>", line 570, in main
subprocess.check_call(['Rscript', r_commands],
stderr=subprocess.STDOUT, )
My hunch is that the problem is some PATH issues making it difficult to
call R.
Maybe some of the Windows gurus out there could help with this ?
Moritz
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