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#4013 Create variation bins for ensemble parameters based on current data

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* Rather than having a fixed index.
* This way the variation is more or less always normal distributed.
This commit is contained in:
Gaute Lindkvist 2019-01-29 16:42:04 +01:00
parent 7518a1880a
commit 54b5dc33f4
5 changed files with 124 additions and 81 deletions
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19
ApplicationCode/ProjectDataModel/Summary/RimEnsembleCurveSet.cpp
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@ -453,16 +453,13 @@ QString RimEnsembleCurveSet::ensembleParameterUiName(const RimEnsembleCurveSet::
QString variationString;
if (paramPair.second.isNumeric())
{
switch (paramPair.second.logarithmicVariationIndex())
switch (paramPair.second.variationBin)
{
case -1:
variationString = QString(" (No variation)");
case 0:
case EnsembleParameter::LOW_VARIATION:
variationString = QString(" (Low variation)");
case EnsembleParameter::MEDIUM_VARIATION:
break;
case 1:
break;
case 2:
case EnsembleParameter::HIGH_VARIATION:
variationString = QString(" (High variation)");
break;
}
@ -1170,13 +1167,7 @@ std::vector<RimEnsembleCurveSet::NameParameterPair> RimEnsembleCurveSet::ensembl
{
parameterVector.push_back(std::make_pair(parameterName, group->ensembleParameter(parameterName)));
}
// Sort by variation index (highest first) but keep name as sorting parameter when parameters have the same variation index
std::stable_sort(parameterVector.begin(), parameterVector.end(), [](const NameParameterPair& lhs, const NameParameterPair& rhs)
{
return lhs.second.logarithmicVariationIndex() > rhs.second.logarithmicVariationIndex();
});
EnsembleParameter::sortByBinnedVariation(parameterVector);
return parameterVector;
}

29
ApplicationCode/ProjectDataModel/Summary/RimEnsembleCurveSet.h
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@ -127,26 +127,27 @@ private:
caf::PdmFieldHandle* userDescriptionField() override;
caf::PdmFieldHandle* objectToggleField() override;
void defineEditorAttribute(const caf::PdmFieldHandle* field, QString uiConfigName, caf::PdmUiEditorAttribute* attribute) override;
void defineEditorAttribute(const caf::PdmFieldHandle* field, QString uiConfigName, caf::PdmUiEditorAttribute* attribute) override;
QList<caf::PdmOptionItemInfo> calculateValueOptions(const caf::PdmFieldHandle* fieldNeedingOptions, bool* useOptionsOnly) override;
void defineUiOrdering(QString uiConfigName, caf::PdmUiOrdering& uiOrdering) override;
void defineUiTreeOrdering(caf::PdmUiTreeOrdering& uiTreeOrdering, QString uiConfigName = "") override;
QList<caf::PdmOptionItemInfo> calculateValueOptions(const caf::PdmFieldHandle* fieldNeedingOptions, bool* useOptionsOnly) override;
void defineUiOrdering(QString uiConfigName, caf::PdmUiOrdering& uiOrdering) override;
void defineUiTreeOrdering(caf::PdmUiTreeOrdering& uiTreeOrdering, QString uiConfigName = "") override;
void fieldChangedByUi(const caf::PdmFieldHandle* changedField,
const QVariant& oldValue, const QVariant& newValue) override;
void fieldChangedByUi(const caf::PdmFieldHandle* changedField,
const QVariant& oldValue, const QVariant& newValue) override;
void appendOptionItemsForSummaryAddresses(QList<caf::PdmOptionItemInfo>* options,
RimSummaryCaseCollection* summaryCaseGroup,
RimSummaryFilter* summaryFilter);
void appendOptionItemsForSummaryAddresses(QList<caf::PdmOptionItemInfo>* options,
RimSummaryCaseCollection* summaryCaseGroup,
RimSummaryFilter* summaryFilter);
void updateCurveColors();
void updateQwtPlotAxis();
void updateCurveColors();
void updateQwtPlotAxis();
QString name() const;
QString createAutoName() const;
QString name() const;
QString createAutoName() const;
void updateLegendMappingMode();
void updateLegendMappingMode();
void sortParameterVectorByBinnedVariation(std::vector<NameParameterPair>& parameterVector) const;
private:
caf::PdmField<bool> m_showCurves;
caf::PdmChildArrayField<RimSummaryCurve*> m_curves;

109
ApplicationCode/ProjectDataModel/Summary/RimSummaryCaseCollection.cpp
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@ -36,44 +36,11 @@
CAF_PDM_SOURCE_INIT(RimSummaryCaseCollection, "SummaryCaseSubCollection");
//--------------------------------------------------------------------------------------------------
/// Return an integer derived from the logarithm of the range.
/// -1 if there is practically no variation and a rising positive integer for non-zero range.
//--------------------------------------------------------------------------------------------------
int EnsembleParameter::logarithmicVariationIndex() const
{
const double eps = 1.0e-4;
double maxAbs = std::max(std::fabs(maxValue), std::fabs(minValue));
if (maxAbs < eps)
{
return -1;
}
double normalisedStdDevPercent = 2.0 * m_stdDeviation / maxAbs * 100.0;
if (normalisedStdDevPercent < eps)
{
return -1;
}
// Should always yield an index from and including -1 to and including 2
// As the maximum normalisedStdDevPercent is ~282
// Found with two values symmetric around 0 so min = -X and max = +X
// normalisedStdDevPercent is then 2 * sqrt(2X^2) / X * 100 = sqrt(2) * 100 = ~282.
// And log10 value is ~2.45.
int variationIndex = std::max(-1, (int) std::round(std::log10(normalisedStdDevPercent)));
//CVF_ASSERT(variationIndex >= -1 && variationIndex <= 2);
return variationIndex;
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
void EnsembleParameter::calculateStdDeviation()
double EnsembleParameter::stdDeviation() const
{
m_stdDeviation = 0.0;
double N = static_cast<double>(values.size());
if (N > 1 && isNumeric())
{
@ -86,10 +53,80 @@ void EnsembleParameter::calculateStdDeviation()
sumValuesSquared += value * value;
}
m_stdDeviation = std::sqrt((N * sumValuesSquared - sumValues * sumValues) / (N * (N - 1.0)));
return std::sqrt((N * sumValuesSquared - sumValues * sumValues) / (N * (N - 1.0)));
}
return 0.0;
}
//--------------------------------------------------------------------------------------------------
/// Standard deviation normalized by max absolute value of min/max values.
/// Produces values between 0.0 and sqrt(2.0).
//--------------------------------------------------------------------------------------------------
double EnsembleParameter::normalizedStdDeviation() const
{
const double eps = 1.0e-4;
double maxAbs = std::max(std::fabs(maxValue), std::fabs(minValue));
if (maxAbs < eps)
{
return 0.0;
}
double normalisedStdDev = stdDeviation() / maxAbs;
if (normalisedStdDev < eps)
{
return 0.0;
}
return normalisedStdDev;
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
void EnsembleParameter::sortByBinnedVariation(std::vector<NameParameterPair>& parameterVector)
{
double minStdDev = std::numeric_limits<double>::infinity();
double maxStdDev = 0.0;
for (const auto& paramPair : parameterVector)
{
minStdDev = std::min(minStdDev, paramPair.second.normalizedStdDeviation());
maxStdDev = std::max(maxStdDev, paramPair.second.normalizedStdDeviation());
}
if ((maxStdDev - minStdDev) < 1.0e-8)
{
return;
}
double delta = (maxStdDev - minStdDev) / NR_OF_VARIATION_BINS;
std::vector<double> bins;
for (int i = 0; i < NR_OF_VARIATION_BINS - 1; ++i)
{
bins.push_back(minStdDev + (i + 1) * delta);
}
for (NameParameterPair& nameParamPair : parameterVector)
{
int binNumber = 0;
for (double bin : bins)
{
if (nameParamPair.second.normalizedStdDeviation() >= bin)
{
binNumber++;
}
}
nameParamPair.second.variationBin = binNumber;
}
// Sort by variation bin (highest first) but keep name as sorting parameter when parameters have the same variation index
std::stable_sort(parameterVector.begin(), parameterVector.end(),
[&bins](const NameParameterPair& lhs, const NameParameterPair& rhs)
{
return lhs.second.variationBin > rhs.second.variationBin;
}
);
}
//--------------------------------------------------------------------------------------------------
///
//--------------------------------------------------------------------------------------------------
@ -338,8 +375,6 @@ EnsembleParameter RimSummaryCaseCollection::ensembleParameter(const QString& par
}
}
eParam.calculateStdDeviation();
return eParam;
}

19
ApplicationCode/ProjectDataModel/Summary/RimSummaryCaseCollection.h
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@ -25,6 +25,9 @@
#include "cafPdmObject.h"
#include "cafPdmProxyValueField.h"
#include <QString>
#include <utility>
#include <vector>
class RimSummaryCase;
@ -35,31 +38,35 @@ class RimSummaryCase;
class EnsembleParameter
{
public:
enum Type { TYPE_NONE, TYPE_NUMERIC, TYPE_TEXT };
typedef std::pair<QString, EnsembleParameter> NameParameterPair;
enum Type { TYPE_NONE, TYPE_NUMERIC, TYPE_TEXT };
enum Bins { LOW_VARIATION, MEDIUM_VARIATION, HIGH_VARIATION, NR_OF_VARIATION_BINS };
QString name;
Type type;
std::vector<QVariant> values;
double minValue;
double maxValue;
int variationBin;
EnsembleParameter() :
type(TYPE_NONE),
minValue(std::numeric_limits<double>::infinity()),
maxValue(-std::numeric_limits<double>::infinity()),
m_stdDeviation(0.0)
variationBin(static_cast<int>(MEDIUM_VARIATION))
{}
bool isValid() const { return !name.isEmpty() && type != TYPE_NONE; }
bool isNumeric() const { return type == TYPE_NUMERIC; }
bool isText() const { return type == TYPE_TEXT; }
double range() const { return std::abs(maxValue - minValue); }
void calculateStdDeviation();
double range() const { return std::abs(maxValue - minValue); }
double normalizedStdDeviation() const;
int logarithmicVariationIndex() const;
static void sortByBinnedVariation(std::vector<NameParameterPair>& parameterVector);
private:
double m_stdDeviation;
double stdDeviation() const;
};
//==================================================================================================

29
ApplicationCode/UnitTests/RimSummaryCaseCollection-Test.cpp
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@ -6,7 +6,7 @@
#include <QDebug>
TEST(RimSummaryCaseCollection, logarithmicVariationIndex)
TEST(RimSummaryCaseCollection, EnsembleParameter)
{
std::random_device rd;
std::mt19937 gen(rd());
@ -14,7 +14,8 @@ TEST(RimSummaryCaseCollection, logarithmicVariationIndex)
std::uniform_real_distribution<double> variationDistribution(0.0, 5000.0);
std::uniform_int_distribution<size_t> countDistribution(1u, 1000u);
size_t N = 1000;
std::map<int, size_t> indexCounts;
std::vector<EnsembleParameter::NameParameterPair> parameters;
for (size_t i = 0; i < N; ++i)
{
EnsembleParameter param;
@ -34,17 +35,25 @@ TEST(RimSummaryCaseCollection, logarithmicVariationIndex)
param.values.push_back(QVariant(value));
}
param.calculateStdDeviation();
param.minValue = minValue;
param.maxValue = maxValue;
int variationIndex = param.logarithmicVariationIndex();
EXPECT_GE(variationIndex, -1);
EXPECT_LE(variationIndex, 2);
indexCounts[variationIndex]++;
double normStdDev = param.normalizedStdDeviation();
EXPECT_GE(normStdDev, 0.0);
EXPECT_LE(normStdDev, std::sqrt(2.0));
parameters.push_back(std::make_pair(QString("%1").arg(i), param));
}
for (auto countPair : indexCounts)
size_t previousSize = parameters.size();
EnsembleParameter::sortByBinnedVariation(parameters);
size_t currentSize = parameters.size();
EXPECT_EQ(previousSize, currentSize);
int currentVariation = (int)EnsembleParameter::HIGH_VARIATION;
for (const EnsembleParameter::NameParameterPair& nameParamPair : parameters)
{
qDebug() << "Variation index " << countPair.first << " count = " << countPair.second;
EXPECT_GE(nameParamPair.second.variationBin, (int) EnsembleParameter::LOW_VARIATION);
EXPECT_LE(nameParamPair.second.variationBin, (int) EnsembleParameter::HIGH_VARIATION);
EXPECT_LE(nameParamPair.second.variationBin, currentVariation);
currentVariation = nameParamPair.second.variationBin;
}
}