Dear all,

I try to use machine learning toolbox by OTB. I got several positive 
outputs, but I need more information
on the parameters used in SVM, ANN, DT modules of the toolbox. It would be 
really nice to have more
information on the parameters - what they mean and recommended values. 

Another problem I faced while I was trying to implement the learning 
process of the ANN module is that I got the following error : 


*OpenCV Error: Bad argument (output training data should be a 
floating-point matrix with the number of rows equal to the number of 
training samples and the number of columns equal to the size of last 
(output) layer) in CvANN_MLP::prepare_to_train, file 
..\..\..\..\src\opencv-2.4.5\modules\ml\src\ann_mlp.cpp, line 702 *
*2015 Feb 06 13:21:45 : Application.logger (DEBUG) Entering DoExecute *
*2015 Feb 06 13:21:45 : Application.logger (INFO) Elevation management: 
setting default height above ellipsoid to 650 meters *
*2015 Feb 06 13:21:53 : Application.logger (INFO) Number of training 
samples: 3391 *
*2015 Feb 06 13:21:53 : Application.logger (INFO) Size of training set: 
3391 *
*2015 Feb 06 13:21:53 : Application.logger (INFO) Size of validation set: 
8772 *
*2015 Feb 06 13:21:53 : Application.logger (INFO) Size of labeled training 
set: 3391 *
*2015 Feb 06 13:21:53 : Application.logger (INFO) Size of labeled 
validation set: 8772 *
*2015 Feb 06 13:21:53 : Application.logger (FATAL) The following error 
occurred during application execution : 
..\..\..\..\src\opencv-2.4.5\modules\ml\src\ann_mlp.cpp:702: error: (-5) 
output training data should be a floating-point matrix with the number of 
rows equal to the number of training samples and the number of columns 
equal to the size of last (output) layer in function 
CvANN_MLP::prepare_to_train *

The params I used are below 

Algorithm TrainImagesClassifier (ann) starting...
C:/OSGeo4W/apps\..\bin\otbcli_TrainImagesClassifier
-io.il
"..../99_PanagReg.tif"
-io.vd
"./OTB_SVMClassification.shp"
-io.imstat
./99_PanagReg_stats.xml
-elev.default
650
-sample.mt
200
-sample.mv
1000
-sample.edg
true
-sample.vtr
0.5
-sample.vfn
CODE_06
-classifier
ann
-classifier.ann.t
back
-classifier.ann.sizes
17
-classifier.ann.f
sig
-classifier.ann.a
1
-classifier.ann.b
1
-classifier.ann.bpdw
0.1
-classifier.ann.bpms
0.1
-classifier.ann.rdw
0.1
-classifier.ann.rdwm
0
-classifier.ann.term
all
-classifier.ann.eps
0.01
-classifier.ann.iter
1000
-rand
1
-io.confmatout
"../ConfMatrix_2HL.txt"
-io.out
"./OutModel_2HL.txt"

Any suggestion will be highly appreciated.

Hr.

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