naive_bayes.h File Reference

#include <unordered_map>
#include "index/forward_index.h"
#include "classify/classifier/classifier.h"
#include "classify/classifier_factory.h"
#include "meta.h"
#include "stats/multinomial.h"
#include "util/sparse_vector.h"

Go to the source code of this file.

Classes
class	meta::classify::naive_bayes
	Implements the Naive Bayes classifier, a simplistic probabilistic classifier that uses Bayes' theorem with strong feature independence assumptions. More...

Namespaces
	meta
	The ModErn Text Analysis toolkit is a suite of natural language processing, classification, information retreival, data mining, and other applications of text processing.
	meta::classify
	Algorithms for feature selection, KNN search, and confusion matrices.

Functions
template<>
std::unique_ptr< classifier >	meta::classify::make_classifier< naive_bayes > (const cpptoml::table &config, std::shared_ptr< index::forward_index > idx)
	Specialization of the factory method used for creating naive bayes classifiers.

Detailed Description

Author

Sean Massung

All files in META are released under the MIT license. For more details, consult the file LICENSE in the root of the project.