ResInsight/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.cpp

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2023-05-12 09:02:56 -05:00
/////////////////////////////////////////////////////////////////////////////////
//
// Copyright (C) 2023 Equinor ASA
//
// ResInsight is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or
// FITNESS FOR A PARTICULAR PURPOSE.
//
// See the GNU General Public License at <http://www.gnu.org/licenses/gpl.html>
// for more details.
//
/////////////////////////////////////////////////////////////////////////////////
#include "RimSummaryRegressionAnalysisCurve.h"
#include "cafPdmUiLineEditor.h"
#include "LinearRegression.hpp"
#include "PolynominalRegression.hpp"
#include "PowerFitRegression.hpp"
#include <cmath>
CAF_PDM_SOURCE_INIT( RimSummaryRegressionAnalysisCurve, "RegressionAnalysisCurve" );
namespace caf
{
template <>
void caf::AppEnum<RimSummaryRegressionAnalysisCurve::RegressionType>::setUp()
{
addItem( RimSummaryRegressionAnalysisCurve::RegressionType::LINEAR, "LINEAR", "Linear" );
addItem( RimSummaryRegressionAnalysisCurve::RegressionType::POLYNOMINAL, "POLYNOMINAL", "Polynominal" );
addItem( RimSummaryRegressionAnalysisCurve::RegressionType::POWER_FIT, "POWER_FIT", "Power Fit" );
setDefault( RimSummaryRegressionAnalysisCurve::RegressionType::LINEAR );
}
}; // namespace caf
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
RimSummaryRegressionAnalysisCurve::RimSummaryRegressionAnalysisCurve()
{
CAF_PDM_InitObject( "Regression Analysis Curve", ":/SummaryCurve16x16.png" );
CAF_PDM_InitFieldNoDefault( &m_regressionType, "RegressionType", "Type" );
CAF_PDM_InitField( &m_polynominalDegree, "PolynominalDegree", 3, "Degree" );
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
RimSummaryRegressionAnalysisCurve::~RimSummaryRegressionAnalysisCurve()
{
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
std::vector<double> RimSummaryRegressionAnalysisCurve::valuesY() const
{
return computeRegressionCurve( RimSummaryCurve::timeStepsY(), RimSummaryCurve::valuesY() ).second;
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
std::vector<double> RimSummaryRegressionAnalysisCurve::valuesX() const
{
return computeRegressionCurve( RimSummaryCurve::timeStepsX(), RimSummaryCurve::valuesX() ).second;
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
std::vector<time_t> RimSummaryRegressionAnalysisCurve::timeStepsY() const
{
return computeRegressionCurve( RimSummaryCurve::timeStepsY(), RimSummaryCurve::valuesY() ).first;
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
std::vector<time_t> RimSummaryRegressionAnalysisCurve::timeStepsX() const
{
return computeRegressionCurve( RimSummaryCurve::timeStepsX(), RimSummaryCurve::valuesX() ).first;
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
std::pair<std::vector<time_t>, std::vector<double>>
RimSummaryRegressionAnalysisCurve::computeRegressionCurve( const std::vector<time_t>& timeSteps, const std::vector<double>& values ) const
{
if ( values.empty() || timeSteps.empty() ) return { timeSteps, values };
auto convertToDouble = []( const std::vector<time_t>& timeSteps )
{
std::vector<double> doubleVector( timeSteps.size() );
std::transform( timeSteps.begin(),
timeSteps.end(),
doubleVector.begin(),
[]( const auto& timeVal ) { return static_cast<double>( timeVal ); } );
return doubleVector;
};
std::vector<double> timeStepsD = convertToDouble( timeSteps );
if ( m_regressionType == RegressionType::LINEAR )
{
regression::LinearRegression linearRegression;
linearRegression.fit( timeStepsD, values );
std::vector<double> predictedValues = linearRegression.predict( timeStepsD );
return { timeSteps, predictedValues };
}
else if ( m_regressionType == RegressionType::POLYNOMINAL )
{
regression::PolynominalRegression polynominalRegression;
polynominalRegression.fit( timeStepsD, values, m_polynominalDegree );
std::vector<double> predictedValues = polynominalRegression.predict( timeStepsD );
return { timeSteps, predictedValues };
}
else if ( m_regressionType == RegressionType::POWER_FIT )
{
regression::PowerFitRegression powerFitRegression;
powerFitRegression.fit( timeStepsD, values );
std::vector<double> predictedValues = powerFitRegression.predict( timeStepsD );
return { timeSteps, predictedValues };
}
return { timeSteps, values };
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
void RimSummaryRegressionAnalysisCurve::defineUiOrdering( QString uiConfigName, caf::PdmUiOrdering& uiOrdering )
{
RimPlotCurve::updateFieldUiState();
caf::PdmUiGroup* regressionCurveGroup = uiOrdering.addNewGroup( "Regression Analysis" );
regressionCurveGroup->add( &m_regressionType );
if ( m_regressionType == RegressionType::POLYNOMINAL )
{
regressionCurveGroup->add( &m_polynominalDegree );
}
RimSummaryCurve::defineUiOrdering( uiConfigName, uiOrdering );
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
void RimSummaryRegressionAnalysisCurve::fieldChangedByUi( const caf::PdmFieldHandle* changedField,
const QVariant& oldValue,
const QVariant& newValue )
{
RimSummaryCurve::fieldChangedByUi( changedField, oldValue, newValue );
if ( changedField == &m_regressionType || changedField == &m_polynominalDegree )
{
loadAndUpdateDataAndPlot();
}
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
void RimSummaryRegressionAnalysisCurve::defineEditorAttribute( const caf::PdmFieldHandle* field,
QString uiConfigName,
caf::PdmUiEditorAttribute* attribute )
{
RimSummaryCurve::defineEditorAttribute( field, uiConfigName, attribute );
if ( field == &m_polynominalDegree )
{
if ( auto* lineEditorAttr = dynamic_cast<caf::PdmUiLineEditorAttribute*>( attribute ) )
{
// Polynominal degree should be a positive number.
lineEditorAttr->validator = new QIntValidator( 1, 50, nullptr );
}
}
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
QString RimSummaryRegressionAnalysisCurve::createCurveAutoName()
{
return RimSummaryCurve::createCurveAutoName() + " " + m_regressionType().uiText() + " Regression";
}