mltk::regressor::KNNRegressor< T, Callable > Member List

This is the complete list of members for mltk::regressor::KNNRegressor< T, Callable >, including all inherited members.

batchEvaluate(const Data< T > &data)	mltk::Learner< T >	virtual
ctot	mltk::Learner< T >	protected
EPS	mltk::Learner< T >	protected
evaluate(const Point< T > &p, bool raw_value=false) override	mltk::regressor::KNNRegressor< T, Callable >	inlinevirtual
PrimalRegressor< double >::evaluate(const Point< double > &p, bool raw_value=false) override	mltk::regressor::PrimalRegressor< double >	inline
getCtot() const	mltk::Learner< T >	inline
getElapsedTime() const	mltk::Learner< T >	inline
getFormulationString() override	mltk::regressor::KNNRegressor< T, Callable >	inlinevirtual
getMaxTime() const	mltk::Learner< T >	inline
getPredictionProbability() const	mltk::Learner< T >	inline
getSamples()	mltk::Learner< T >	inline
getSolution() const	mltk::regressor::Regressor< T >	inline
getSolutionRef()	mltk::regressor::Regressor< T >	inline
getSteps() const	mltk::Learner< T >	inline
getUpdates() const	mltk::Learner< T >	inline
KNNRegressor()=default (defined in mltk::regressor::KNNRegressor< T, Callable >)	mltk::regressor::KNNRegressor< T, Callable >
KNNRegressor(const Data< T > &_samples, size_t _k=3) (defined in mltk::regressor::KNNRegressor< T, Callable >)	mltk::regressor::KNNRegressor< T, Callable >	inlineexplicit
KNNRegressor(size_t _k=3) (defined in mltk::regressor::KNNRegressor< T, Callable >)	mltk::regressor::KNNRegressor< T, Callable >	inlineexplicit
Learner()=default (defined in mltk::Learner< T >)	mltk::Learner< T >
Learner(DataPointer< T > _samples) (defined in mltk::Learner< T >)	mltk::Learner< T >	inlineexplicit
Learner(const Learner< T > &learner) (defined in mltk::Learner< T >)	mltk::Learner< T >	inline
MAX_EPOCH (defined in mltk::Learner< T >)	mltk::Learner< T >	protected
MAX_IT	mltk::Learner< T >	protected
max_time	mltk::Learner< T >	protected
MAX_UP	mltk::Learner< T >	protected
MIN_INC	mltk::Learner< T >	protected
pred_prob (defined in mltk::Learner< T >)	mltk::Learner< T >	protected
PrimalRegressor()=default (defined in mltk::regressor::PrimalRegressor< double >)	mltk::regressor::PrimalRegressor< double >
PrimalRegressor(DataPointer< double > samples) (defined in mltk::regressor::PrimalRegressor< double >)	mltk::regressor::PrimalRegressor< double >	inlineexplicit
rate	mltk::Learner< T >	protected
Regressor()=default (defined in mltk::regressor::Regressor< T >)	mltk::regressor::Regressor< T >
Regressor(DataPointer< T > samples) (defined in mltk::regressor::Regressor< T >)	mltk::regressor::Regressor< T >	inlineexplicit
samples	mltk::Learner< T >	protected
seed	mltk::Learner< T >	protected
setCtot(int _ctot)	mltk::Learner< T >	inline
setEPS(double eps)	mltk::Learner< T >	inline
setLearningRate(double learning_rate)	mltk::Learner< T >	inline
setMaxEpochs(int MAX_EPOCHS)	mltk::Learner< T >	inline
setMaxIterations(int max_it)	mltk::Learner< T >	inline
setMaxTime(double maxtime)	mltk::Learner< T >	inline
setMaxUpdates(int max_up)	mltk::Learner< T >	inline
setSamples(const Data< T > &data)	mltk::Learner< T >	inlinevirtual
setSamples(DataPointer< T > data)	mltk::Learner< T >	inlinevirtual
setSeed(const size_t _seed)	mltk::Learner< T >	inline
setSolution(Solution solution)	mltk::regressor::Regressor< T >	inline
setStartTime(double stime)	mltk::Learner< T >	inline
setSteps(int _steps)	mltk::Learner< T >	inline
setTimer(Timer _timer)	mltk::Learner< T >	inline
setVerbose(int _verbose)	mltk::Learner< T >	inline
setW(const std::vector< double > &w)	mltk::regressor::Regressor< T >	inline
solution	mltk::regressor::Regressor< T >	protected
start_time	mltk::Learner< T >	protected
steps	mltk::Learner< T >	protected
timer	mltk::Learner< T >	protected
train() override	mltk::regressor::KNNRegressor< T, Callable >	inlinevirtual
verbose	mltk::Learner< T >	protected
w	mltk::regressor::PrimalRegressor< double >	protected
~Learner()=default (defined in mltk::Learner< T >)	mltk::Learner< T >	virtual