Plotting Monte-Carlo solution distribution as a one-liner

src/lib-base/src/OptimizerBase.cpp

@@ -256,7 +256,10 @@ void OptimizerBase::PlotVariance() const
     const DistribData & distrib = Distrib().GetDistrib(m_goals);
     if (distrib.IsValid())
     {
+        ELO
         GnuplotPlotTerminal2d(distrib.data, "Distribution of solutions (median must be > -1):", scaleX, scaleY);
+        LOG << "Plotting line prototype" << Nl;
+        LOG << Distrib().PlotLine(distrib, false) << Nl;
     }
     //cout << "Changes abs = " << chg.sumAbsolute << " rel = " << chg.sumRelative << endl;
 }

src/lib-base/src/TicksProviderAdaptiveFake.cpp

@@ -1,6 +1,7 @@
 #include "TicksProviderAdaptiveFake.h"
 
 #include "TicksProviderFake.h"
+#include "ITicks.h"
 
 TicksProviderAdaptiveFake::TicksProviderAdaptiveFake(){}
 TicksProviderAdaptiveFake::~TicksProviderAdaptiveFake(){}

src/tsqsim-lib/src/SimulatorTS.cpp

@@ -243,7 +243,7 @@ std::vector<TSRes> SimulatorTS::GetReconstruction(const ITSFun * fun, const Enjo
     std::vector<TSRes> ret;
     const VecD & reconstr = fun->ReconstructVec(input, lostMat);
     //LOGL << "Reconstr = " << reconstr.Print() << Nl;
-    for (int i = 0; i < reconstr.size(); ++i)
+    for (size_t i = 0; i < reconstr.size(); ++i)
     {
         TSRes res;
         res.val = reconstr.at(i);
@@ -363,7 +363,7 @@ EnjoLib::VecD SimulatorTS::GetMA2Diff(const EnjoLib::VecD & maa, int period) con
     MaxMinFindD mmf;
     const DataOCHL & data = m_per.GetDataFull();
     bool isValid = false;
-    for (int i = 0; i < data.Size(); ++i)
+    for (size_t i = 0; i < data.Size(); ++i)
     {
         const double val = data.closes.at(i) - maa.at(i);
         if (i > period)

src/tsqsim-lib/src/TSXformMan.cpp

@@ -66,7 +66,7 @@ VecD TSXformMan::ReconstructVec(const EnjoLib::VecD & input, const EnjoLib::Matr
     }
 
     double valPrev = 0;
-    for (int j = 0; j < input.size(); ++j)
+    for (size_t j = 0; j < input.size(); ++j)
     {
     double val = input.at(j);
     const VecD & valLostVec = lost.at(j);

src/tsqsim/src/App.cpp

@@ -136,7 +136,7 @@ void App::Optim(const ISymbol & sym, const IPeriod & per) const
 {
     {LOGL << "Optim\n"; }
     const TSFunFactory tsFunFact;
-    const TSFunType tsFunType = TSFunType::TXT; /// TODO: make user's choice
+    //const TSFunType tsFunType = TSFunType::TXT; /// TODO: make user's choice
 
     //OptimizerTS optiTS(tsFunType, sym, per, tsFunFact); /// TODO: Opti goal: stationarity statistics
     //optiTS();