sgpp::datadriven::Scorer Class Reference

Base class for supervised learning used to fit a model and quantify accuracy using a sgpp::datadriven::Metric with either testing or cross validation. More...

#include <Scorer.hpp>

Public Member Functions
Scorer &	operator= (const Scorer &rhs)=default
	Copy assign operator. More...
Scorer &	operator= (Scorer &&rhs)=default
	Move assign operator. More...
	Scorer (Metric *metric)
	Constructor. More...
	Scorer (Scorer &&rhs)=default
	Move constructor. More...
double	test (ModelFittingBase &model, Dataset &testDataset)
	evaluate the accuracy on the test set using the sgpp::datadriven::Metric. More...
	~Scorer ()=default
	Destructor. More...

Detailed Description

Base class for supervised learning used to fit a model and quantify accuracy using a sgpp::datadriven::Metric with either testing or cross validation.

Splits a dataset into testing and training parts, trains the model and measures the accuracy.

Constructor & Destructor Documentation

Scorer() [1/2]

sgpp::datadriven::Scorer::Scorer ( Metric *  metric )

explicit

Constructor.

Parameters

metric

sgpp::datadriven::Metric to to quantify approximation quality of a trained model. Scorer will take ownership of this object. puts a random seed.

Scorer() [2/2]

sgpp::datadriven::Scorer::Scorer ( Scorer &&  rhs )

default

Move constructor.

Parameters

rhs	R-value reference to a scorer object to moved from.

~Scorer()

sgpp::datadriven::Scorer::~Scorer ( )

default

Destructor.

Member Function Documentation

operator=() [1/2]

Scorer& sgpp::datadriven::Scorer::operator= ( const Scorer &  rhs )

default

Copy assign operator.

Parameters

rhs	const reference to the scorer object to copy from.

Returns

rerefernce to this with updated values.

operator=() [2/2]

Scorer& sgpp::datadriven::Scorer::operator= ( Scorer &&  rhs )

default

Move assign operator.

Parameters

rhs	R-value reference to an a scorer object to move from.

Returns

rerefernce to this with updated values.

test()

double sgpp::datadriven::Scorer::test	(	ModelFittingBase &	model,
		Dataset &	testDataset
	)

evaluate the accuracy on the test set using the sgpp::datadriven::Metric.

Parameters

model	model to be fitted based on the train dataset.
testDataset	dataset used quantify accuracy using sgpp::datadriven::Metric.

Returns

accuracy of the fit.

References sgpp::datadriven::ModelFittingBase::evaluate(), sgpp::datadriven::Dataset::getData(), sgpp::datadriven::Dataset::getNumberInstances(), and sgpp::datadriven::Dataset::getTargets().

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

• datadriven/src/sgpp/datadriven/datamining/modules/scoring/Scorer.hpp
• datadriven/src/sgpp/datadriven/datamining/modules/scoring/Scorer.cpp