hype::core::Least_Squares_Method_1D Class Reference

#include <least_squares.hpp>

Inheritance diagram for hype::core::Least_Squares_Method_1D:

Collaboration diagram for hype::core::Least_Squares_Method_1D:

List of all members.

Public Member Functions
	Least_Squares_Method_1D ()
virtual const EstimatedTime	computeEstimation (const Tuple &input_values)
virtual bool	recomuteApproximationFunction (Algorithm &algorithm)
virtual bool	inTrainingPhase () const throw ()
virtual void	retrain ()
virtual	~Least_Squares_Method_1D ()
Static Public Member Functions
static StatisticalMethod_Internal *	create ()
Private Attributes
alglib::barycentricinterpolant	timeestimationpolynomial_
unsigned int	degree_of_polynomial_
bool	polynomial_computed_

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Detailed Description

Definition at line 18 of file least_squares.hpp.

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Constructor & Destructor Documentation

hype::core::Least_Squares_Method_1D::Least_Squares_Method_1D

(

)

Definition at line 12 of file least_squares.cpp.

Referenced by create().

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hype::core::Least_Squares_Method_1D::~Least_Squares_Method_1D

(

)

[virtual]

Definition at line 16 of file least_squares.cpp.

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Member Function Documentation

const EstimatedTime hype::core::Least_Squares_Method_1D::computeEstimation

(

const Tuple &

input_values

)

[virtual]

Implements hype::core::StatisticalMethod_Internal.

Definition at line 18 of file least_squares.cpp.

References polynomial_computed_, and timeestimationpolynomial_.

static StatisticalMethod_Internal* hype::core::Least_Squares_Method_1D::create

(

)

[inline, static]

Definition at line 31 of file least_squares.hpp.

References Least_Squares_Method_1D().

Referenced by hype::core::PluginLoader::loadPlugins().

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bool hype::core::Least_Squares_Method_1D::inTrainingPhase

(

)

const throw () [virtual]

Implements hype::core::StatisticalMethod_Internal.

Definition at line 32 of file least_squares.cpp.

References polynomial_computed_.

bool hype::core::Least_Squares_Method_1D::recomuteApproximationFunction

(

Algorithm &

algorithm

)

[virtual]

Implements hype::core::StatisticalMethod_Internal.

Definition at line 40 of file least_squares.cpp.

References degree_of_polynomial_, hype::core::AlgorithmStatistics::executionHistory_, hype::core::Algorithm::getAlgorithmStatistics(), hype::core::MeasurementPairRingbuffer::getColumnFeatureValues(), hype::core::MeasurementPairRingbuffer::getColumnMeasurements(), polynomial_computed_, quiet, and timeestimationpolynomial_.

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void hype::core::Least_Squares_Method_1D::retrain

(

)

[virtual]

Implements hype::core::StatisticalMethod_Internal.

Definition at line 36 of file least_squares.cpp.

References polynomial_computed_.

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Member Data Documentation

unsigned int hype::core::Least_Squares_Method_1D::degree_of_polynomial_ [private]

Definition at line 39 of file least_squares.hpp.

Referenced by recomuteApproximationFunction().

bool hype::core::Least_Squares_Method_1D::polynomial_computed_ [private]

Definition at line 40 of file least_squares.hpp.

Referenced by computeEstimation(), inTrainingPhase(), recomuteApproximationFunction(), and retrain().

alglib::barycentricinterpolant hype::core::Least_Squares_Method_1D::timeestimationpolynomial_ [private]

Definition at line 38 of file least_squares.hpp.

Referenced by computeEstimation(), and recomuteApproximationFunction().

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The documentation for this class was generated from the following files:

• least_squares.hpp
• least_squares.cpp