sgd.h File Reference

#include "classify/binary_classifier_factory.h"
#include "classify/classifier/binary_classifier.h"
#include "classify/loss/loss_function.h"
#include "util/disk_vector.h"
#include "meta.h"

Go to the source code of this file.

Classes
class	meta::classify::sgd
	Implements stochastic gradient descent for learning binary linear classifiers. 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< binary_classifier >	meta::classify::make_binary_classifier< sgd > (const cpptoml::table &config, std::shared_ptr< index::forward_index > idx, class_label positive, class_label negative)
	Specialization of the factory method used to create sgd classifiers.

Detailed Description

Author

Chase Geigle

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