清空筛选条件
清空筛选条件

fitcecoc with specified Box Contraint and Kernel Scale

2 次查看（过去 30 天）
Dylan den Hartog
Dylan den Hartog 2022-1-4
Hello,
I want to create an SVM model for multiclass classification, with specified hyperparameters: BoxContraint = 500 and KernelScale = 0.01
I triend using:
cvpt = cvpartition(Y_train, "kFold", 5);
fitcecoc(X_train,"class", "CVPartition",cvpt, "Coding","onevsone", "BoxContraint", 500, "KernelScale", 0.01)
I get the following error:
Error in classreg.learning.FitTemplate.make (line 124)
temp = fillIfNeeded(temp,type);
Error in classreg.learning.FitTemplate/fillIfNeeded (line 448)
classreg.learning.FitTemplate.make(this.Method,'type',this.Type,...
Error in classreg.learning.FitTemplate.make (line 124)
temp = fillIfNeeded(temp,type);
Error in ClassificationECOC.template (line 111)
temp = classreg.learning.FitTemplate.make('ECOC','type','classification',varargin{:});
Error in ClassificationECOC.fit (line 115)
temp = ClassificationECOC.template(varargin{:});
Error in fitcecoc (line 339)
obj = ClassificationECOC.fit(X,Y,ecocArgs{:});

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Classification Ensembles 的更多信息

标签

产品


版本

R2018b

Community Treasure Hunt

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

Start Hunting!

Translated by