ml.h File Reference

#include <shogun/base/some.h>
#include <shogun/base/init.h>
#include <shogun/machine/Machine.h>
#include <shogun/lib/common.h>
#include <shogun/labels/RegressionLabels.h>
#include <shogun/labels/MulticlassLabels.h>
#include <shogun/features/Features.h>
#include <shogun/machine/LinearMachine.h>
#include <shogun/regression/LeastAngleRegression.h>
#include <shogun/regression/LinearRidgeRegression.h>
#include <shogun/regression/svr/LibLinearRegression.h>
#include <shogun/ensemble/MeanRule.h>
#include <shogun/ensemble/MajorityVote.h>
#include <shogun/machine/LinearMulticlassMachine.h>
#include <cmath>
#include "shogun/MyCARTree.h"
#include "shogun/MulticlassLogisticRegression.h"
#include "shogun/MyMulticlassLibLinear.h"
#include "shogun/MyLibLinear.h"
#include "shogun/MyRandomForest.h"
#include "../params.h"
#include "../eval/scorer.h"
#include "../util/utils.h"
#include "nlohmann/json.hpp"
#include "../util/serialization.h"

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Classes
class	FT::Model::ML
	class that specifies the machine learning algorithm to pair with Feat. More...

Namespaces
	FT
	main Feat namespace
	FT::Model
	namespace containing ML methods used in Feat

Enumerations
enum	FT::Model::ML_TYPE {   FT::Model::LARS , FT::Model::Ridge , FT::Model::RF , FT::Model::SVM ,   FT::Model::CART , FT::Model::LR , FT::Model::L1_LR }

Functions
void	FT::Model::to_json (json &j, const shared_ptr< ML > &model)
void	FT::Model::from_json (const json &j, shared_ptr< ML > &model)
void	FT::Model::to_json (json &j, const ML &ml)
	serialization More...
void	FT::Model::from_json (const json &j, ML &model)