sgpp::datadriven::Dataset Class Reference

#include <Dataset.hpp>

Inheritance diagram for sgpp::datadriven::Dataset:

Public Member Functions
	Dataset ()
	Constructs an empty dataset (zero size). More...
	Dataset (size_t numberInstances, size_t dimension)
	Constructs an empty dataset with given size. More...
sgpp::base::DataMatrix &	getData ()
const sgpp::base::DataMatrix &	getData () const
size_t	getDimension () const
size_t	getNumberInstances () const
sgpp::base::DataVector &	getTargets ()
const sgpp::base::DataVector &	getTargets () const

Protected Attributes
sgpp::base::DataMatrix	data
size_t	dimension
size_t	numberInstances
sgpp::base::DataVector	targets

Constructor & Destructor Documentation

Dataset() [1/2]

sgpp::datadriven::Dataset::Dataset

(

)

Constructs an empty dataset (zero size).

Dataset() [2/2]

sgpp::datadriven::Dataset::Dataset	(	size_t	numberInstances,
		size_t	dimension
	)

Constructs an empty dataset with given size.

Parameters

numberInstances	number of instances in the dataset
dimension	number of dimensions in the dataset

Member Function Documentation

getData() [1/2]

sgpp::base::DataMatrix & sgpp::datadriven::Dataset::getData

(

)

Returns

training data of the dataset

References getData().

Referenced by sgpp::datadriven::LearnerSGDEOnOffParallel::assembleNextBatchData(), sgpp::datadriven::RosenblattTransformation::doInverseTransformation(), sgpp::datadriven::LearnerSGDEOnOffParallel::doRefinementForAll(), sgpp::datadriven::RosenblattTransformation::doTransformation(), sgpp::datadriven::ModelFittingClassification::fit(), sgpp::datadriven::ModelFittingDensityEstimationCG::fit(), sgpp::datadriven::ModelFittingDensityEstimationOnOff::fit(), sgpp::datadriven::LearnerSGDEOnOffParallel::getAccuracy(), sgpp::datadriven::SortedDataset::getData(), getData(), sgpp::datadriven::LearnerSGDEOnOffParallel::getError(), hpx_main(), sgpp::datadriven::RosenblattTransformation::initialize(), sgpp::datadriven::MetaLearner::learnAndTestString(), sgpp::datadriven::MetaLearner::learnReferenceString(), sgpp::datadriven::MetaLearner::learnString(), main(), sgpp::datadriven::MortonOrder::MortonOrder(), sgpp::datadriven::MortonOrder::orderDataset(), sgpp::datadriven::ARFFTools::readARFF(), sgpp::datadriven::CSVTools::readCSV(), sgpp::datadriven::CSVFileSampleProvider::readString(), sgpp::datadriven::ArffFileSampleProvider::readString(), sgpp::datadriven::ModelFittingLeastSquares::reset(), sgpp::datadriven::MortonOrder::restoreDataset(), sgpp::datadriven::LearnerSGDEOnOffParallel::splitBatchIntoClasses(), sgpp::datadriven::Scorer::test(), sgpp::datadriven::ModelFittingClassification::update(), sgpp::datadriven::ModelFittingDensityEstimationOnOff::update(), and sgpp::datadriven::ModelFittingDensityEstimationCG::update().

getData() [2/2]

const sgpp::base::DataMatrix & sgpp::datadriven::Dataset::getData

(

)

const

Returns

training data of the dataset

References data.

getDimension()

size_t sgpp::datadriven::Dataset::getDimension

(

)

const

Returns

number of dimensions in the dataset

References dimension.

Referenced by sgpp::datadriven::LearnerSGDEOnOffParallel::assembleNextBatchData(), sgpp::datadriven::RosenblattTransformation::doInverseTransformation(), sgpp::datadriven::RosenblattTransformation::doTransformation(), sgpp::datadriven::ModelFittingLeastSquares::fit(), sgpp::datadriven::CSVFileSampleProvider::getAllSamples(), sgpp::datadriven::ArffFileSampleProvider::getAllSamples(), sgpp::datadriven::ArffFileSampleProvider::getDim(), sgpp::datadriven::CSVFileSampleProvider::getDim(), sgpp::datadriven::LearnerSGDEOnOffParallel::getDimensionality(), sgpp::datadriven::CSVFileSampleProvider::getNextSamples(), sgpp::datadriven::ArffFileSampleProvider::getNextSamples(), sgpp::datadriven::CSVFileSampleProvider::getNumSamples(), sgpp::datadriven::ArffFileSampleProvider::getNumSamples(), sgpp::datadriven::RefinementHandler::handleSurplusBasedRefinement(), hpx_main(), sgpp::datadriven::RosenblattTransformation::initialize(), sgpp::datadriven::MetaLearner::learnAndTestString(), sgpp::datadriven::MetaLearner::learnReferenceString(), sgpp::datadriven::MetaLearner::learnString(), main(), sgpp::datadriven::CSVFileSampleProvider::readString(), sgpp::datadriven::ArffFileSampleProvider::readString(), sgpp::datadriven::LearnerSGDEOnOffParallel::train(), and sgpp::datadriven::ModelFittingClassification::update().

getNumberInstances()

size_t sgpp::datadriven::Dataset::getNumberInstances

(

)

const

Returns

number of instances in the dataset

References numberInstances.

Referenced by sgpp::datadriven::LearnerSGDEOnOffParallel::assembleNextBatchData(), sgpp::datadriven::LearnerSGDEOnOffParallel::assignBatchToWorker(), sgpp::datadriven::RosenblattTransformation::doInverseTransformation(), sgpp::datadriven::RosenblattTransformation::doTransformation(), sgpp::datadriven::LearnerSGDEOnOffParallel::getAccuracy(), sgpp::datadriven::ArffFileSampleProvider::getAllSamples(), sgpp::datadriven::CSVFileSampleProvider::getAllSamples(), sgpp::datadriven::LearnerSGDEOnOffParallel::getError(), sgpp::datadriven::ArffFileSampleProvider::getNumSamples(), sgpp::datadriven::CSVFileSampleProvider::getNumSamples(), hpx_main(), sgpp::datadriven::RosenblattTransformation::initialize(), sgpp::datadriven::SparseGridMinerCrossValidation::learn(), sgpp::datadriven::SparseGridMinerSplitting::learn(), sgpp::datadriven::MetaLearner::learnAndTestString(), sgpp::datadriven::MetaLearner::learnReferenceString(), sgpp::datadriven::MetaLearner::learnString(), main(), sgpp::datadriven::CSVFileSampleProvider::readString(), sgpp::datadriven::ArffFileSampleProvider::readString(), sgpp::datadriven::SortedDataset::SortedDataset(), sgpp::datadriven::LearnerSGDEOnOffParallel::splitBatchIntoClasses(), sgpp::datadriven::Scorer::test(), sgpp::datadriven::LearnerSGDEOnOffParallel::train(), sgpp::datadriven::LearnerSGDEOnOffParallel::trainParallel(), sgpp::datadriven::ModelFittingClassification::update(), and sgpp::datadriven::LearnerSGDEOnOffParallel::workBatch().

getTargets() [1/2]

sgpp::base::DataVector & sgpp::datadriven::Dataset::getTargets

(

)

Returns

classes data of the dataset

References getTargets().

Referenced by sgpp::datadriven::LearnerSGDEOnOffParallel::assembleNextBatchData(), sgpp::datadriven::LearnerSGDEOnOffParallel::doRefinementForAll(), sgpp::datadriven::ModelFittingClassification::fit(), sgpp::datadriven::LearnerSGDEOnOffParallel::getAccuracy(), sgpp::datadriven::LearnerSGDEOnOffParallel::getError(), getTargets(), sgpp::datadriven::MetaLearner::learnAndTestString(), sgpp::datadriven::MetaLearner::learnReferenceString(), sgpp::datadriven::MetaLearner::learnString(), sgpp::datadriven::MortonOrder::orderDataset(), sgpp::datadriven::ARFFTools::readARFF(), sgpp::datadriven::CSVTools::readCSV(), sgpp::datadriven::CSVFileSampleProvider::readString(), sgpp::datadriven::ArffFileSampleProvider::readString(), sgpp::datadriven::ModelFittingLeastSquares::reset(), sgpp::datadriven::MortonOrder::restoreDataset(), sgpp::datadriven::LearnerSGDEOnOffParallel::splitBatchIntoClasses(), sgpp::datadriven::Scorer::test(), and sgpp::datadriven::ModelFittingClassification::update().

getTargets() [2/2]

const sgpp::base::DataVector & sgpp::datadriven::Dataset::getTargets

(

)

const

Returns

classes data of the dataset

References targets.

Member Data Documentation

data

sgpp::base::DataMatrix sgpp::datadriven::Dataset::data

protected

Referenced by getData(), sgpp::datadriven::SortedDataset::restoreOrder(), and sgpp::datadriven::SortedDataset::usePermutation().

dimension

size_t sgpp::datadriven::Dataset::dimension

protected

Referenced by getDimension().

numberInstances

size_t sgpp::datadriven::Dataset::numberInstances

protected

Referenced by getNumberInstances(), and sgpp::datadriven::SortedDataset::setOrder().

targets

sgpp::base::DataVector sgpp::datadriven::Dataset::targets

protected

Referenced by getTargets(), sgpp::datadriven::SortedDataset::restoreOrder(), and sgpp::datadriven::SortedDataset::usePermutation().

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

• datadriven/src/sgpp/datadriven/tools/Dataset.hpp
• datadriven/src/sgpp/datadriven/tools/Dataset.cpp