mctune: multicore hyperparameter tuning in R on the example of SVM car detection

mctune In Machine Learning (ML) tasks finding good hyperparameters for machine learning models is critical (hyperparameter optimization). In R there exist some packages containing routines doing that for you using grid search (constructing and testing all possible parameters as a grid, e.g. in David Meyer's e1071 package). Besides the very good routines already contained in … Continue reading mctune: multicore hyperparameter tuning in R on the example of SVM car detection

Image classification using SVMs in R

Recently I did some Support Vector Machine (SVM) tests in R (statistical language¬†with functional parts for rapid prototyping and data analysis -- somehow similar to Matlab, but open source ;)) for my current face recognition projects. To get my SVMs up and running in R, using image data as in- and output, I wrote a … Continue reading Image classification using SVMs in R