File statistics_provider_decomposable_dense.hpp

namespace boosting
template<typename StatisticType>
class DenseDecomposableClassificationStatisticsProviderFactory : public IClassificationStatisticsProviderFactory
#include <statistics_provider_decomposable_dense.hpp>

Allows to create instances of the class IStatisticsProvider that can be used in classification problems and provide access to an object of type IDecomposableStatistics using dense data structures for storing the statistics.

Template Parameters:

StatisticType – The type of the statistics

Public Functions

DenseDecomposableClassificationStatisticsProviderFactory(std::unique_ptr<IDecomposableClassificationLossFactory<StatisticType>> lossFactoryPtr, std::unique_ptr<IClassificationEvaluationMeasureFactory<StatisticType>> evaluationMeasureFactoryPtr, std::unique_ptr<IDecomposableRuleEvaluationFactory> defaultRuleEvaluationFactoryPtr, std::unique_ptr<IDecomposableRuleEvaluationFactory> regularRuleEvaluationFactoryPtr, std::unique_ptr<IDecomposableRuleEvaluationFactory> pruningRuleEvaluationFactoryPtr, MultiThreadingSettings multiThreadingSettings)
Parameters:

  • lossFactoryPtr – An unique pointer to an object of type IDecomposableClassificationLossFactory that allows to create implementations of the loss function that should be used for calculating gradients and Hessians

  • evaluationMeasureFactoryPtr – An unique pointer to an object of type IClassificationEvaluationMeasureFactory that allows to create implementations of the evaluation measure that should be used for assessing the quality of predictions

  • defaultRuleEvaluationFactoryPtr – An unique pointer to an object of type IDecomposableRuleEvaluationFactory that should be used for calculating the predictions, as well as corresponding quality scores, of the default rule

  • regularRuleEvaluationFactoryPtr – An unique pointer to an object of type IDecomposableRuleEvaluationFactory that should be used for calculating the predictions, as well as corresponding quality scores, of all remaining rules

  • pruningRuleEvaluationFactoryPtr – An unique pointer to an object of type IDecomposableRuleEvaluationFactory that should be used for calculating the predictions, as well as corresponding quality scores, when pruning rules

  • multiThreadingSettings – An object of type MultiThreadingSettingsthat stores the settings to be used for calculating the initial statistics in parallel

std::unique_ptr<IStatisticsProvider> create(const CContiguousView<const uint8> &labelMatrix) const override

See also

IClassificationStatisticsProviderFactory::create

std::unique_ptr<IStatisticsProvider> create(const BinaryCsrView &labelMatrix) const override

See also

IClassificationStatisticsProviderFactory::create

Private Members

const std::unique_ptr<IDecomposableClassificationLossFactory<StatisticType>> lossFactoryPtr_
const std::unique_ptr<IClassificationEvaluationMeasureFactory<StatisticType>> evaluationMeasureFactoryPtr_
const std::unique_ptr<IDecomposableRuleEvaluationFactory> defaultRuleEvaluationFactoryPtr_
const std::unique_ptr<IDecomposableRuleEvaluationFactory> regularRuleEvaluationFactoryPtr_
const std::unique_ptr<IDecomposableRuleEvaluationFactory> pruningRuleEvaluationFactoryPtr_
const MultiThreadingSettings multiThreadingSettings_
template<typename StatisticType>
class DenseDecomposableRegressionStatisticsProviderFactory : public IRegressionStatisticsProviderFactory
#include <statistics_provider_decomposable_dense.hpp>

Allows to create instances of the class IStatisticsProvider that can be used in regression problems and provide access to an object of type IDecomposableStatistics using dense data structures for storing the statistics.

Template Parameters:

StatisticType – The type of the statistics

Public Functions

DenseDecomposableRegressionStatisticsProviderFactory(std::unique_ptr<IDecomposableRegressionLossFactory<StatisticType>> lossFactoryPtr, std::unique_ptr<IRegressionEvaluationMeasureFactory<StatisticType>> evaluationMeasureFactoryPtr, std::unique_ptr<IDecomposableRuleEvaluationFactory> defaultRuleEvaluationFactoryPtr, std::unique_ptr<IDecomposableRuleEvaluationFactory> regularRuleEvaluationFactoryPtr, std::unique_ptr<IDecomposableRuleEvaluationFactory> pruningRuleEvaluationFactoryPtr, MultiThreadingSettings multiThreadingSettings)
Parameters:

  • lossFactoryPtr – An unique pointer to an object of type IDecomposableRegressionLossFactory that allows to create implementations of the loss function that should be used for calculating gradients and Hessians

  • evaluationMeasureFactoryPtr – An unique pointer to an object of type IRegressionEvaluationMeasureFactory that allows to create implementations of the evaluation measure that should be used for assessing the quality of predictions

  • defaultRuleEvaluationFactoryPtr – An unique pointer to an object of type IDecomposableRuleEvaluationFactory that should be used for calculating the predictions, as well as corresponding quality scores, of the default rule

  • regularRuleEvaluationFactoryPtr – An unique pointer to an object of type IDecomposableRuleEvaluationFactory that should be used for calculating the predictions, as well as corresponding quality scores, of all remaining rules

  • pruningRuleEvaluationFactoryPtr – An unique pointer to an object of type IDecomposableRuleEvaluationFactory that should be used for calculating the predictions, as well as corresponding quality scores, when pruning rules

  • multiThreadingSettings – An object of type MultiThreadingSetting that stores the settings to be used for calculating the initial statistics in parallel

std::unique_ptr<IStatisticsProvider> create(const CContiguousView<const float32> &regressionMatrix) const override

See also

IRegressionStatisticsProviderFactory::create

std::unique_ptr<IStatisticsProvider> create(const CsrView<const float32> &regressionMatrix) const override

See also

IRegressionStatisticsProviderFactory::create

Private Members

const std::unique_ptr<IDecomposableRegressionLossFactory<StatisticType>> lossFactoryPtr_
const std::unique_ptr<IRegressionEvaluationMeasureFactory<StatisticType>> evaluationMeasureFactoryPtr_
const std::unique_ptr<IDecomposableRuleEvaluationFactory> defaultRuleEvaluationFactoryPtr_
const std::unique_ptr<IDecomposableRuleEvaluationFactory> regularRuleEvaluationFactoryPtr_
const std::unique_ptr<IDecomposableRuleEvaluationFactory> pruningRuleEvaluationFactoryPtr_
const MultiThreadingSettings multiThreadingSettings_