Error using Multiclass support vector machines
显示 更早的评论
I am operating with two data files for a project. My training set and testing set are of size 451315 X 304 respectively. I am aiming to classify eight different classes. I have tried using the Multi Class Support Vector Machine by Anand Mishra (Thanks to you, sir!) provided in MATLAB answers forum. However, this is the error that occurs in the function m-file. It works for a smaller dataset, but at this high amount data, it is giving away this error. Please clarify.
The error shown is as follows.
Error using seqminopt>seqminoptImpl (line 198)
No convergence achieved within maximum number of iterations.
Error in seqminopt (line 81)
[alphas offset] = seqminoptImpl(data, targetLabels, ...
Error in svmtrain (line 499)
[alpha, bias] = seqminopt(training, groupIndex, ...
1 个评论
Walter Roberson
2013-3-6
... so increase the maximum number of iterations ?
回答(0 个)
类别
在 帮助中心 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!