perClass

Excel classifier utility is not working

2012-04-30T17:31:13Z

Dear Sir/Madam,

Anybody has experiencd the excel classifier utility not working with the current Perclass 3.2?

It worked in the previous version with me. But it does not work with the current version 3.2. The error message is - “perclass.dll” could not be found.

Look forward to hearing from you as soon as possible.

Thanks,

Liwei

inconsistent version statements

2012-05-14T13:33:45Z

Hoping to find a recent update of prtools, I downloaded from prtools.org the file (for academic use) prtools_eval_20120423.zip, providing me with release notes that mentioned: PRTools 4.1.6 release notes - Sep 2009.

This made me believe prtools support had been stopped. It was only that I still wanted to check these “4.1.6” improvements, that I found out that what I had was actually Version 4.2.1 11-Oct-2011, mentioned in Contents.m.

Although this can be considered a detail, proper version statements can prevent the hasty visitor from unjustly averting his attention from prtools.

Hoping to help,
Sander Kruseman

Combining Classifiers from outside PRtools

2012-03-21T15:25:06Z

Thanks for this great tool
i have a group of classifiers (around 50, based on same method with different parameters) from outside PRtools for a dataset around 30000 samples
each classifiers outputs a 30000x1 vector of probabilities that are positive (0 i need to combine these classifiers and have both the result and the weights for the different classifiers.

Thanks
p.s:sorry if this question is repeated, i tried to search but couldn’t find a direct relation to it. if this is the case please direct me to the post.

sdsvc: problem during grid search.

2010-09-27T09:41:18Z

Hello

The grid search in sdsvc is returns an error when applied to my dataset.

>>cdatadiff2 = sdrelab(cdatadiff,{'STOP','EVENT','NONSTOP','EVENT'})
  1: FA     -> FA
  2: STOP   -> EVENT             
  3: NONSTOP -> EVENT             
278 by 85 sddata, 2 classes: 'FA'(60) 'EVENT'(218) 
>>[P,E]=sdsvc(cdatadiff2*sdfeatsel(cdatadiff2,70:80));
....................sigma=0.00000 C=0.001 err=0.500 ??? Error using ==> rmprop at 41
Property 'original' not found

Error in ==> /matlab/PRSD_Studio/prsd_toolbox/@sddata/subsasgn.p>subsasgn at 19


Error in ==> /matlab/PRSD_Studio/prsd_toolbox/sdsvc.p>sdsvc at 177

If I specify hyperparameters then evertyhing goes smoothly:

>> [P,E]=sdsvc(cdatadiff2*sdfeatsel(cdatadiff2,70:80),'C',100,'sigma',10);
SVs=159

Any idea of what is going wrong?

Thanks in advance

Regards,

NuSVC Score

2011-10-20T09:36:51Z

Hi guys,

I’m new in this forum and in PRTools too :)...i have a question for you: suppose to use a method like sliding windows to classify. It is possible to have informations about the score of each window given from the Nusvc classifier??I don’t want the total score but the current one for the analyzed roi. Is there a function to do this?

thanks a lot

alexmarco

error using getfeatlab

2012-04-04T14:44:56Z

This line is giving me ‘Undefined function or method ‘getfeatlab’ for input arguments of type ‘mapping’.’
[m,k] = size(a); featlist = getfeatlab(a);

The command ‘which getfeatlab’ returns the path for getfeatlab
prTools is as a folder in my working directory, and the method ‘getfeatlab’ is actually present in the @dataset folder of prTools

Please help

Any difference between qld and quadprog ?

2012-03-28T09:14:07Z

When I use SVC, I get the following message:

QLD not found, the Matlab routine QUADPROG is used instead

Index out of bounds in sdsvc

2012-01-31T22:25:13Z

Hi,
training sdsvc with default settings on a particular dataset I obtain as follows:

??? Error using ==> ind2code at 8
Index out of bounds.

Error in ==> ..\perClass_Demo\perclass\@sddata\subset.p>subset at 73

Error in ==> ..\perClass_Demo\perclass\@sddata\subsref.p>subsref at 31

Error in ==> ..\perClass_Demo\perclass\sdsvc.p>sdsvc at 210

Error in ==> ..\perClass_Demo\perclass\@sdppl\apply_untrained.p>apply_untrained at 150

Error in ==> ..\perClass_Demo\perclass\@sdppl\mtimes.p>mtimes at 72

Error in ==> par_classify_BR at 20
    trainedSvc=trainngData*untrainedSvc;

Could you please help with the problem?

Thanks in advance.
Tomasz

sdparzen maxsamples

2012-02-01T10:24:24Z

Hi,

When using the ‘maxsamples’ option for the sdparzen classifier, how are the training samples chosen? Is this completely random?

Best regards,
Davy

sdimage label transparency

2012-01-30T16:26:26Z

Hi,

When showing image data using the sdimage function, one can set the label transparency to “very transparent” using the GUI. Is it also possible to set this property automatically in the code itself?

Cheers,
Davy