File statistics_provider_example_wise_dense.hpp

namespace boosting
class DenseExampleWiseStatisticsProviderFactory : public IStatisticsProviderFactory
#include <statistics_provider_example_wise_dense.hpp>

Allows to create instances of the class IStatisticsProvider that provide access to an object of type IExampleWiseStatistics, which uses dense data structures to store the statistics.

Public Functions

DenseExampleWiseStatisticsProviderFactory(std::unique_ptr<IExampleWiseLossFactory> lossFactoryPtr, std::unique_ptr<IEvaluationMeasureFactory> evaluationMeasureFactoryPtr, std::unique_ptr<IExampleWiseRuleEvaluationFactory> defaultRuleEvaluationFactoryPtr, std::unique_ptr<IExampleWiseRuleEvaluationFactory> regularRuleEvaluationFactoryPtr, std::unique_ptr<IExampleWiseRuleEvaluationFactory> pruningRuleEvaluationFactoryPtr, uint32 numThreads)
Parameters:

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

  • numThreads – The number of CPU threads to be used to calculate the initial statistics in parallel. Must be at least 1

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

See also

IStatisticsProviderFactory::create

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

See also

IStatisticsProviderFactory::create

Private Members

const std::unique_ptr<IExampleWiseLossFactory> lossFactoryPtr_
const std::unique_ptr<IEvaluationMeasureFactory> evaluationMeasureFactoryPtr_
const std::unique_ptr<IExampleWiseRuleEvaluationFactory> defaultRuleEvaluationFactoryPtr_
const std::unique_ptr<IExampleWiseRuleEvaluationFactory> regularRuleEvaluationFactoryPtr_
const std::unique_ptr<IExampleWiseRuleEvaluationFactory> pruningRuleEvaluationFactoryPtr_
const uint32 numThreads_
class DenseConvertibleExampleWiseStatisticsProviderFactory : public IStatisticsProviderFactory
#include <statistics_provider_example_wise_dense.hpp>

Allows to create instances of the class IStatisticsProvider that provide access to an object of type IExampleWiseStatistics, which uses dense data structures to store the statistics and can be converted into an object of type ILabelWiseStatistics.

Public Functions

DenseConvertibleExampleWiseStatisticsProviderFactory(std::unique_ptr<IExampleWiseLossFactory> lossFactoryPtr, std::unique_ptr<IEvaluationMeasureFactory> evaluationMeasureFactoryPtr, std::unique_ptr<IExampleWiseRuleEvaluationFactory> defaultRuleEvaluationFactoryPtr, std::unique_ptr<ILabelWiseRuleEvaluationFactory> regularRuleEvaluationFactoryPtr, std::unique_ptr<ILabelWiseRuleEvaluationFactory> pruningRuleEvaluationFactoryPtr, uint32 numThreads)
Parameters:

  • lossFactoryPtr – An unique pointer to an object of type IExampleWiseLossFactory 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 IEvaluationMeasureFactory 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 IExampleWiseRuleEvaluationFactory 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 ILabelWiseRuleEvaluationFactory 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 ILabelWiseRuleEvaluationFactory that should be used for calculating the predictions, as well as corresponding quality scores, when pruning rules

  • numThreads – The number of CPU threads to be used to calculate the initial statistics in parallel. Must be at least 1

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

See also

IStatisticsProviderFactory::create

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

See also

IStatisticsProviderFactory::create

Private Members

const std::unique_ptr<IExampleWiseLossFactory> lossFactoryPtr_
const std::unique_ptr<IEvaluationMeasureFactory> evaluationMeasureFactoryPtr_
const std::unique_ptr<IExampleWiseRuleEvaluationFactory> defaultRuleEvaluationFactoryPtr_
const std::unique_ptr<ILabelWiseRuleEvaluationFactory> regularRuleEvaluationFactoryPtr_
const std::unique_ptr<ILabelWiseRuleEvaluationFactory> pruningRuleEvaluationFactoryPtr_
const uint32 numThreads_