classify_statistical_level()

template<ComputeData InputType = std::vector<Kakshya::DataVariant>, ComputeData OutputType = Eigen::VectorXd>

StatisticalLevel MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::classify_statistical_level ( double  value ) const

inline

Classify statistical value qualitatively.

Parameters

value

Statistical value to classify

Returns

StatisticalLevel classification

Definition at line 292 of file StatisticalAnalyzer.hpp.

    {
        if (std::abs(value) > m_outlier_threshold)
            return StatisticalLevel::OUTLIER;
        if (value <= m_extreme_low_threshold)
            return StatisticalLevel::EXTREME_LOW;
        if (value <= m_low_threshold)
            return StatisticalLevel::LOW;
        if (value <= m_high_threshold)
            return StatisticalLevel::NORMAL;
        if (value <= m_extreme_high_threshold)
            return StatisticalLevel::HIGH;
        return StatisticalLevel::EXTREME_HIGH;
    }

References MayaFlux::Yantra::EXTREME_HIGH, MayaFlux::Yantra::EXTREME_LOW, MayaFlux::Yantra::HIGH, MayaFlux::Yantra::LOW, MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::m_extreme_high_threshold, MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::m_extreme_low_threshold, MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::m_high_threshold, MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::m_low_threshold, MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::m_outlier_threshold, MayaFlux::Yantra::NORMAL, and MayaFlux::Yantra::OUTLIER.

Referenced by MayaFlux::Yantra::StatisticalAnalyzer< InputType, OutputType >::create_analysis_result().

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