How to use rbf_kernel parameters with svmtrain() and svmclassify() for svm classification

9 ビュー (過去 30 日間)
B mohan
B mohan 2012 年 3 月 28 日
By using linear kernel I got the result using svmtrain() and svmclassify() function. But the result obtained is not so accurate. When I used rbf_kernel I got an error as follows. Please help me how to use parameters with example
>> load fisheriris >> data = [meas(:,1), meas(:,2)]; >> groups = ismember(species,'setosa'); >> [train, test] = crossvalind('holdOut',groups); >> cp = classperf(groups); >> svmStruct = svmtrain(data(train,:),groups(train),'showplot',true);
//Error below
>> svmStruct = svmtrain(data(train,:),groups(train),'kernel_function','1'); ??? Error using ==> svmtrain at 266 Unknown Kernel Function 1.

回答 (3 件)

Tom Lane
Tom Lane 2012 年 3 月 28 日
From your description, it sounds like you intended
svmStruct = svmtrain(data(train,:),groups(train),'kernel_function','rbf');
In any case, the error message simply means that '1' isn't a valid value to follow the 'kernel_function' parameter name.
  1 件のコメント
Yasir Mohammed
Yasir Mohammed 2016 年 5 月 30 日
svmStruct =svmtrain(data(train,:),groups(train),'kernel_function','rbf'); i used this but i also have the same error
Error using svmclassify (line 75) Unknown parameter name: kernel_function.
Error in SVMtest (line 14) testresult = svmclassify(svmStructSurprise,testone,'kernel_function','rbf' );
>>

サインインしてコメントする。


Pratik Oak
Pratik Oak 2013 年 3 月 22 日
Use this:
svmStruct = svmtrain(data(train,:),groups(train),'RBF_Sigma','1')
name of kernel function should be added

Farman Shah
Farman Shah 2018 年 8 月 14 日
編集済み: Farman Shah 2018 年 8 月 14 日
_ _ _ _ _ _ _ _ _ _ _ * * * * * * * * * *svmStruct =svmtrain(data(train,:),groups(train),'kernel_function','rbf'); i used this but i also have the same error
Error using svmclassify (line 75) Unknown parameter name: kernel_function.
Error in SVMtest (line 14) testresult = svmclassify(svmStructSurprise,testone,'kernel_function','rbf' );
>>**********____
Dear you are getting the error because you are adding 'Kernel_Function', 'polynomial', 'Polyorder', 4 to svmclassify.Add this kernal parameter to the trainsvm function instead..i.e
SVMStruct = svmtrain(features_train,labels_train,'Kernel_Function', 'polynomial', 'Polyorder', 4);
and it will work... _____

カテゴリ

Help Center および File ExchangeFourier Analysis and Filtering についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by