Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier. This implementation globally replaces all […]
Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier. This implementation globally replaces all […]
a sequential minimal optimization algorithm for training a SVM.
This class is an implementation of the minimal and maximal extension.
Class implementing minimal cost-complexity pruning.
A.Smola and B.Scholkopf's sequential minimal optimization algorithm for training a support vector regression model.
Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.
Implements Alex Smola and Bernhard Scholkopf's sequential minimal optimization algorithm for training a support vector regression model.
HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest
Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split […]