From f5752d109d1221116e3caa4cb955f18f18580e3a Mon Sep 17 00:00:00 2001
From: Kristian Bendiksen <kristian.bendiksen@gmail.com>
Date: Fri, 9 Jun 2023 09:11:48 +0200
Subject: [PATCH] Regression Analysis: hide logistic regression.

---
 .../RimSummaryRegressionAnalysisCurve.cpp       | 17 -----------------
 .../Summary/RimSummaryRegressionAnalysisCurve.h |  2 --
 2 files changed, 19 deletions(-)

diff --git a/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.cpp b/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.cpp
index 951f3c2571..7b4264c725 100644
--- a/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.cpp
+++ b/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.cpp
@@ -53,7 +53,6 @@ void caf::AppEnum<RimSummaryRegressionAnalysisCurve::RegressionType>::setUp()
     addItem( RimSummaryRegressionAnalysisCurve::RegressionType::POWER_FIT, "POWER_FIT", "Power Fit" );
     addItem( RimSummaryRegressionAnalysisCurve::RegressionType::EXPONENTIAL, "EXPONENTIAL", "Exponential" );
     addItem( RimSummaryRegressionAnalysisCurve::RegressionType::LOGARITHMIC, "LOGARITHMIC", "Logarithmic" );
-    addItem( RimSummaryRegressionAnalysisCurve::RegressionType::LOGISTIC, "LOGISTIC", "Logistic" );
     setDefault( RimSummaryRegressionAnalysisCurve::RegressionType::LINEAR );
 }
 
@@ -214,13 +213,6 @@ std::tuple<std::vector<time_t>, std::vector<double>, QString>
         std::vector<double> predictedValues = logarithmicRegression.predict( outputTimeStepsD );
         return { convertToTimeT( outputTimeStepsD ), predictedValues, generateRegressionText( logarithmicRegression ) };
     }
-    else if ( m_regressionType == RegressionType::LOGISTIC )
-    {
-        regression::LogisticRegression logisticRegression;
-        logisticRegression.fit( timeStepsD, valuesInRange );
-        std::vector<double> predictedValues = logisticRegression.predict( outputTimeStepsD );
-        return { convertToTimeT( outputTimeStepsD ), predictedValues, generateRegressionText( logisticRegression ) };
-    }
 
     return { timeSteps, values, "" };
 }
@@ -431,15 +423,6 @@ QString RimSummaryRegressionAnalysisCurve::generateRegressionText( const regress
            QString( "<br>R<sup>2</sup> = %1" ).arg( reg.r2() );
 }
 
-//--------------------------------------------------------------------------------------------------
-///
-//--------------------------------------------------------------------------------------------------
-QString RimSummaryRegressionAnalysisCurve::generateRegressionText( const regression::LogisticRegression& reg )
-{
-    // TODO: Display more parameters here.
-    return "";
-}
-
 //--------------------------------------------------------------------------------------------------
 ///
 //--------------------------------------------------------------------------------------------------
diff --git a/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.h b/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.h
index 1c081271bc..d0e8d66a95 100644
--- a/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.h
+++ b/ApplicationLibCode/ProjectDataModel/Summary/RimSummaryRegressionAnalysisCurve.h
@@ -31,7 +31,6 @@ namespace regression
 class ExponentialRegression;
 class LinearRegression;
 class LogarithmicRegression;
-class LogisticRegression;
 class PolynomialRegression;
 class PowerFitRegression;
 } // namespace regression
@@ -110,7 +109,6 @@ private:
     static QString generateRegressionText( const regression::PowerFitRegression& reg );
     static QString generateRegressionText( const regression::LogarithmicRegression& reg );
     static QString generateRegressionText( const regression::ExponentialRegression& reg );
-    static QString generateRegressionText( const regression::LogisticRegression& reg );
 
     static QString formatDouble( double v );