Hi to everyone, we are working in a project involving the use of EMGU and in particoular the SVM functions of OpenCV and we have a problem using Mono on a Ubuntu platform and we don't have this problem on windows. The problem appears when we call the Emgu.CV.ML.SVM.Train method. All the parameters are correct and we canno't debug the wra...
I am using PyML for SVM classification. However, I noticed that when I evaluate a multi-class classifier using LOO, the results object does not report the sensitivity and PPV values. Instead they are 0.0: from PyML import * from PyML.classifiers import multi mc = multi.OneAgainstRest(SVM()) data = VectorDataSet('iris.data', labelsColum...
I am using a multi-dimensional SVM classifier (SVM.NET, a wrapper for libSVM) to classify a set of features. Given an SVM model, is it possible to incorporate new training data without having to recalculate on all previous data? I guess another way of putting it would be: is an SVM mutable? ...
I'm cross-posting this from math.stackexchange.com because I'm not getting any feedback and it's a time-sensitive question for me. My question pertains to linear separability with hyperplanes in a support vector machine. According to Wikipedia: ...formally, a support vector machine constructs a hyperplane or set of hyperplane...