PRSD Studio

classifier output as support function

2010-03-10T14:12:47+01:00

Hello,
I am relatively new to prtools -learning in progress:)

I’m looking for a way to achieve from classifier (mapping) not direct class label but a support function value in case, for instance, neural nets - or probabilities that given object is of class X. Generally I want to achieve soft value from given classifier. Is it easly possible or requires a lot of coding?
Is it correct assumption that after operation dataset * mapping I should get a new dataset where
resulting nlab array should contain soft labels set by mapping?

Kind regards,
Tomasz Wilk

measures in sdcrossval

2010-03-05T16:14:51+01:00

Hi,

I would like to know the list of ‘measures’ that can be used in sdcrossval. In particular I would like to find a measure equivalent to:

res=sdcrossval(sdknn*sddecide, data, 'measures',{'class-errors'})*getpriors(data)'

Thanks

Mathieu

how to set parameter using treec() when wanting to applying C4.5 in boosting?

2010-03-09T05:05:13+01:00

Hi, I want to use C4.5 algorithm in adaboost for comparison with the well known published works related to boosing papers for the fact that C4.5 is usually used in previous works,
How do I set the parameter for function treec in Prtools in order to perform the classic C4.5 algorithm?

thanks

Can’t change the cross-validation strategy in sdcrossval

2010-03-08T17:05:23+01:00

Hi,

In PRSD Studio 2.0.5, I get the following error when I tried the example in the documentation about the different cross-validation strategies:

>> load fruit; pd= sdgauss*sddecide; [r2,e2]=sdcrossval(pd,a,'folds',2,'method','random');
??? Undefined function or method 'getstate' for input arguments of type 'sdppl'.

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolboxprivatesde_randomization.p>sde_randomization at 19

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolboxsdcrossval.p>sdcrossval at 120

Thank you for your help.

Mathieu

Use custom feature selection algorithm in a pipeline

2010-03-05T16:08:31+01:00

Hi,

I created a custom feature selection algorithm with sdalg. Is it possible to use it in a pipeline so that I can do the following thing:


p = sdcrossval((myalgo*sdlinear)*sddecide,data)

I tried to use sdp_fsel but I got the following error when trying it:

>> p=sdp_fsel(14, [1 2 4 6])
??? Input argument "lab" is undefined.

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolboxsdp_fsel.p>sdp_fsel at 24

Thanks

Mathieu

sdtree error

2010-03-05T15:41:53+01:00

Hi,

I use PRSD Studio 2.0.5 and I have the following error when I use the sdtree classifier on the adult dataset from UCI repository (in attachment): (Note: the problem seems to happen every time my dataset has more than 19 rows)

>> sdtree(data)
.??? Undefined function or method 'getcodes' for input arguments of type 'double'.

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolbox@sdlabsubset.p>subset at 23

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolbox@sddataprivatesubset_ind.p>subset_ind at 17

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolbox@sddatasubsref.p>subsref at 35

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolboxsdtree.p>tree_getcrit at 288

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolboxsdtree.p>tree_featthr at 281

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolboxsdtree.p>tree_processallfeat at 250

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolboxsdtree.p>tree_train at 140

Error in ==> C:Program FilesMATLABR2009btoolboxprsd_toolboxsdtree.p>sdtree at 49

bpxnc - how this works

2010-02-28T21:32:27+01:00

Hallo,
I am trying to understand the way the bpxnc works. I read documentation and right now I am trying to get closer the the PRTools code.
Could You please send me the picture (jpg) how networks structure looks like when I type bpxnc([],[10 10], nr_of_epoche)? I need just the draft picture in which I could find the information where are weights and how the input and output of such network looks like for the ‘soft’ version.

[10 10] means number of units in each hidden layer

Please help me with this problem

votec

2010-03-06T16:40:42+01:00

hello prtools team
I am trying to combine diffrent base classifiers using majority voting ‘votec’. The classifiers are: ldc,knnc, svc and treec. It work with all the combinig rule prodc, minc, medianc, maxc, meanc but with votec i have this error message:

index exceeds matrix dimensions.

Error in ==> C:MATLAB6p5workprtools@datasetsubsref.m
On line 78 ==>

Error in ==> C:MATLAB6p5workprtoolsfixedcc.m
On line 143 ==> labels = labeld(a(:,J));

Error in ==> C:MATLAB6p5workprtoolsfixedcc.m
On line 177 ==> v = feval(mfilename,a*w.data{1},[],type,name);

Error in ==> C:MATLAB6p5workprtoolsmap.m
On line 179 ==> d = feval(mapp,a,b);

Error in ==> C:MATLAB6p5workprtools@mappingmtimes.m
On line 15 ==>

Error in ==> C:MATLAB6p5workprtoolstestc.m
On line 289 ==> [out1,out2]= feval(mfilename,a*w,type,label);[/size]

thanks in advance

Turn off messages in sdcrossval

2010-03-05T17:23:00+01:00

Hi,

Is there a way to turn off messages like: 10 folds: [1: ] [2: ] ... in sdcrossval?

Thanks

Mathieu

sda_featex is missing

2010-03-05T15:38:08+01:00

Hi,

It seems that the sda_featex function, mentioned in the knowledge base, is missing in PRSD Studio 2.0.5.

Mathieu