# All Classes and Interfaces

Class
Description
DocumentCategorizerSVM
An implementation of `DocumentCategorizer` that uses Support Vector Machines (SVM) via the zlibsvm library for document classification.
FeatureSelectionStrategy
Defines strategies for selecting the most informative features for SVM-based text classification.
SvmDoccatConfiguration
Configuration for SVM-based document categorization, combining the underlying SVM classifier settings with text-specific parameters for term weighting, feature selection, and feature scaling.
SvmDoccatConfiguration.Builder
A builder for `SvmDoccatConfiguration`.
SvmDoccatModel
A model for SVM-based document categorization.
SvmDoccatModel.DeserializationLimits
Resource limits applied to the `ObjectInputFilter` used by `SvmDoccatModel.deserialize(InputStream, DeserializationLimits)`.
TermWeightingStrategy
Defines strategies for weighting term features in SVM-based text classification.