All Classes and Interfaces

Class
Description
An implementation of DocumentCategorizer that uses Support Vector Machines (SVM) via the zlibsvm library for document classification.
Defines strategies for selecting the most informative features for SVM-based text classification.
Configuration for SVM-based document categorization, combining the underlying SVM classifier settings with text-specific parameters for term weighting, feature selection, and feature scaling.
A builder for SvmDoccatConfiguration.
A model for SVM-based document categorization.
Defines strategies for weighting term features in SVM-based text classification.