mltk::classifier::KNNClassifier< T, Callable > Member List

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

alpha_aprox	mltk::classifier::PrimalClassifier< double >	protected
batchEvaluate(const Data< T > &data)	mltk::Learner< T >	virtual
batchEvaluateProbability(const mltk::Data< T > &data) (defined in mltk::classifier::Classifier< T >)	mltk::classifier::Classifier< T >
Classifier() (defined in mltk::classifier::Classifier< T >)	mltk::classifier::Classifier< T >	inline
Classifier(DataPointer< T > samples) (defined in mltk::classifier::Classifier< T >)	mltk::classifier::Classifier< T >	inline
Classifier(const Classifier< T > &classifier) (defined in mltk::classifier::Classifier< T >)	mltk::classifier::Classifier< T >	inline
ctot	mltk::Learner< T >	protected
EPS	mltk::Learner< T >	protected
evaluate(const Point< T > &p, bool raw_value=false) override	mltk::classifier::KNNClassifier< T, Callable >	virtual
PrimalClassifier< double >::evaluate(const Point< double > &p, bool raw_value=false) override	mltk::classifier::PrimalClassifier< double >	inline
evaluateProbability(const mltk::Point< double > &p) (defined in mltk::classifier::Classifier< T >)	mltk::classifier::Classifier< T >	inlinevirtual
flexible	mltk::classifier::PrimalClassifier< double >	protected
gamma	mltk::classifier::Classifier< T >	protected
getCtot() const	mltk::Learner< T >	inline
getElapsedTime() const	mltk::Learner< T >	inline
getFormulationString() override	mltk::classifier::PrimalClassifier< double >	inlinevirtual
getMaxTime() const	mltk::Learner< T >	inline
getP() const	mltk::classifier::PrimalClassifier< double >	inline
getPredictionProbability() const	mltk::Learner< T >	inline
getQ() const	mltk::classifier::PrimalClassifier< double >	inline
getSamples()	mltk::Learner< T >	inline
getSolution() const	mltk::classifier::Classifier< T >	inline
getSolutionRef()	mltk::classifier::Classifier< T >	inline
getSteps() const	mltk::Learner< T >	inline
getUpdates() const	mltk::Learner< T >	inline
hasInitialSolution	mltk::classifier::Classifier< T >	protected
KNNClassifier()=default (defined in mltk::classifier::KNNClassifier< T, Callable >)	mltk::classifier::KNNClassifier< T, Callable >
KNNClassifier(size_t _k, std::string _algorithm="brute") (defined in mltk::classifier::KNNClassifier< T, Callable >)	mltk::classifier::KNNClassifier< T, Callable >	inlineexplicit
KNNClassifier(Data< T > &_samples, size_t _k, std::string _algorithm="brute") (defined in mltk::classifier::KNNClassifier< T, Callable >)	mltk::classifier::KNNClassifier< T, Callable >	inline
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
metric() (defined in mltk::classifier::KNNClassifier< T, Callable >)	mltk::classifier::KNNClassifier< T, Callable >	inline
MIN_INC	mltk::Learner< T >	protected
p (defined in mltk::classifier::PrimalClassifier< double >)	mltk::classifier::PrimalClassifier< double >	protected
precomputeDistances(mltk::Data< T > &data, bool diagonal=false, const size_t threads=std::thread::hardware_concurrency()) (defined in mltk::classifier::KNNClassifier< T, Callable >)	mltk::classifier::KNNClassifier< T, Callable >	inline
pred_prob (defined in mltk::Learner< T >)	mltk::Learner< T >	protected
PrimalClassifier() (defined in mltk::classifier::PrimalClassifier< double >)	mltk::classifier::PrimalClassifier< double >	inline
PrimalClassifier(DataPointer< double > samples) (defined in mltk::classifier::PrimalClassifier< double >)	mltk::classifier::PrimalClassifier< double >	inline
PrimalClassifier(mltk::Data< double > &samples) (defined in mltk::classifier::PrimalClassifier< double >)	mltk::classifier::PrimalClassifier< double >	inline
PrimalClassifier(const PrimalClassifier< double > &primal_learner) (defined in mltk::classifier::PrimalClassifier< double >)	mltk::classifier::PrimalClassifier< double >	inline
q	mltk::classifier::PrimalClassifier< double >	protected
rate	mltk::Learner< T >	protected
samples	mltk::Learner< T >	protected
seed	mltk::Learner< T >	protected
setAlphaAprox(double alpha_aprox)	mltk::classifier::PrimalClassifier< double >	inline
setCtot(int _ctot)	mltk::Learner< T >	inline
setEPS(double eps)	mltk::Learner< T >	inline
setFlexible(double flexible)	mltk::classifier::PrimalClassifier< double >	inline
setGamma(double gamma)	mltk::classifier::Classifier< 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
setpNorm(double p)	mltk::classifier::PrimalClassifier< double >	inline
setPrecomputedDistances(metrics::dist::BaseMatrix _distances) (defined in mltk::classifier::KNNClassifier< T, Callable >)	mltk::classifier::KNNClassifier< T, Callable >	inline
setqNorm(double q)	mltk::classifier::PrimalClassifier< double >	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::classifier::Classifier< 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(std::vector< double > w)	mltk::classifier::Classifier< T >	inline
solution	mltk::classifier::Classifier< T >	protected
start_time	mltk::Learner< T >	protected
steps	mltk::Learner< T >	protected
svs	mltk::classifier::Classifier< T >	protected
timer	mltk::Learner< T >	protected
train() override	mltk::classifier::KNNClassifier< T, Callable >	virtual
verbose	mltk::Learner< T >	protected
w	mltk::classifier::PrimalClassifier< double >	protected
~Learner()=default (defined in mltk::Learner< T >)	mltk::Learner< T >	virtual