File rule_evaluation_label_wise_single.hpp¶
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namespace boosting
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class LabelWiseSingleLabelRuleEvaluationFactory : public boosting::ISparseLabelWiseRuleEvaluationFactory¶
- #include <rule_evaluation_label_wise_single.hpp>
Allows to create instances of the class
ISparseLabelWiseRuleEvaluationFactory
that allow to calculate the predictions of single-label rules, which predict for a single label.Public Functions
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LabelWiseSingleLabelRuleEvaluationFactory(float64 l1RegularizationWeight, float64 l2RegularizationWeight)¶
- Parameters:
l1RegularizationWeight – The weight of the L1 regularization that is applied for calculating the scores to be predicted by rules
l2RegularizationWeight – The weight of the L2 regularization that is applied for calculating the scores to be predicted by rules
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virtual std::unique_ptr<IRuleEvaluation<DenseLabelWiseStatisticVector>> create(const DenseLabelWiseStatisticVector &statisticVector, const CompleteIndexVector &indexVector) const override¶
Creates a new instance of the class
IRuleEvaluation
that allows to calculate the predictions of rules that predict for all available labels, based on the gradients and Hessians that are stored by aDenseLabelWiseStatisticVector
.- Parameters:
statisticVector – A reference to an object of type
DenseLabelWiseStatisticVector
. This vector is only used to identify the function that is able to deal with this particular type of vector via function overloadingindexVector – A reference to an object of the type
CompleteIndexVector
that provides access to the indices of the labels for which the rules may predict
- Returns:
An unique pointer to an object of type
IRuleEvaluation
that has been created
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virtual std::unique_ptr<IRuleEvaluation<DenseLabelWiseStatisticVector>> create(const DenseLabelWiseStatisticVector &statisticVector, const PartialIndexVector &indexVector) const override¶
Creates a new instance of the class
IRuleEvaluation
that allows to calculate the predictions of rules that predict for a subset of the available labels, based on the gradients and Hessians that are stored by aDenseLabelWiseStatisticVector
.- Parameters:
statisticVector – A reference to an object of type
DenseLabelWiseStatisticVector
. This vector is only used to identify the function that is able to deal with this particular type of vector via function overloadingindexVector – A reference to an object of the type
PartialIndexVector
that provides access to the indices of the labels for which the rules may predict
- Returns:
An unique pointer to an object of type
IRuleEvaluation
that has been created
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virtual std::unique_ptr<IRuleEvaluation<SparseLabelWiseStatisticVector>> create(const SparseLabelWiseStatisticVector &statisticVector, const CompleteIndexVector &indexVector) const override¶
Creates a new instance of the class
IRuleEvaluation
that allows to calculate the predictions of rules that predict for all available labels, based on the gradients and Hessians that are stored by aSparseLabelWiseStatisticVector
.- Parameters:
statisticVector – A reference to an object of type
SparseLabelWiseStatisticVector
. This vector is only used to identify the function that is able to deal with this particular type of vector via function overloadingindexVector – A reference to an object of the type
CompleteIndexVector
that provides access to the indices of the labels for which the rules may predict
- Returns:
An unique pointer to an object of type
IRuleEvaluation
that has been created
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virtual std::unique_ptr<IRuleEvaluation<SparseLabelWiseStatisticVector>> create(const SparseLabelWiseStatisticVector &statisticVector, const PartialIndexVector &indexVector) const override¶
Creates a new instance of the class
IRuleEvaluation
that allows to calculate the predictions of rules that predict for a subset of the available labels, based on the gradients and Hessians that are stored by aSparseLabelWiseStatisticVector
.- Parameters:
statisticVector – A reference to an object of type
SparseLabelWiseStatisticVector
. This vector is only used to identify the function that is able to deal with this particular type of vector via function overloadingindexVector – A reference to an object of the type
PartialIndexVector
that provides access to the indices of the labels for which the rules may predict
- Returns:
An unique pointer to an object of type
IRuleEvaluation
that has been created
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LabelWiseSingleLabelRuleEvaluationFactory(float64 l1RegularizationWeight, float64 l2RegularizationWeight)¶
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class LabelWiseSingleLabelRuleEvaluationFactory : public boosting::ISparseLabelWiseRuleEvaluationFactory¶