Uses of Package
pt.tumba.ngram.svm

Packages that use pt.tumba.ngram.svm

pt.tumba.ngram.svm

Implementation of Support Vector Machines classification and regression that can be used to categorize text files using N-Grams as features.

Classes in pt.tumba.ngram.svm used by pt.tumba.ngram.svm

Cache
SVM Kernel Cache, implementing a least recently used (LRU) policy.

Cache.CacheNode
Inner class representing a Cache node.

Kernel
Abstract interface to model an SVM Kernel.

Solver
Generalized SMO+SVMlight algorithm Solves: min 0.5(\alpha^T Q \alpha) + b^T \alpha y^T \alpha = \delta y_i = +1 or -1 0 <= alpha_i <= Cp for y_i = 1 0 <= alpha_i <= Cn for y_i = -1 Given: Q, b, y, Cp, Cn, and an initial feasible point \alpha l is the size of vectors and matrices eps is the stopping criterion solution will be put in \alpha, objective value will be put in obj

Solver.SolutionInfo

SVM.decisionFunction
Inner class modeling the data for the SVM decision function, used for classifying points with respect to the hyperplane.

SVMModel
SVMModel encondes a classification model, describing both the model parameters and the Support Vectors.

SVMNode
SVMNode is used to model dimentions in vectors.

SVMParameter
Constants and Parameters used used in the SVM package.

SVMProblem
Class to model an SVM Problem, containing both the training vectors and the class (value) associated with each vector.