[math/tmva] Clean up files that unnecessarily include TEventList.

Also remove further includes that were unused.

Author: hageboeck

math/mlp/inc/TMultiLayerPerceptron.h

@@ -15,8 +15,8 @@
 #include "TObject.h"
 #include "TString.h"
 #include "TObjArray.h"
-#include "TMatrixD.h"
 #include "TNeuron.h"
+#include "TMatrixDfwd.h"
 
 class TTree;
 class TEventList;

math/mlp/src/TMultiLayerPerceptron.cxx

@@ -242,6 +242,7 @@ neurons, hidden layers and inputs/outputs that does not apply to TMultiLayerPerc
 #include "TH2.h"
 #include "TGraph.h"
 #include "TLegend.h"
+#include "TMatrixD.h"
 #include "TMultiGraph.h"
 #include "TDirectory.h"
 #include "TSystem.h"

tmva/tmva/src/Classification.cxx

@@ -34,7 +34,6 @@
 #include <TKey.h>
 #include <TLeaf.h>
 #include <TBranch.h>
-#include <TEventList.h>
 #include <TGraph.h>
 #include <TMatrixF.h>
 #include <TMatrixDSym.h>

tmva/tmva/src/DataInputHandler.cxx

@@ -36,12 +36,9 @@ Class that contains all the data information.
 #include "TMVA/DataLoader.h"
 #include "TMVA/MsgLogger.h"
 #include "TMVA/Types.h"
-#include "TEventList.h"
 #include "TCut.h"
 #include "TTree.h"
 
-#include "TMVA/Configurable.h"
-
 #include <vector>
 #include <fstream>
 

tmva/tmva/src/DataSetFactory.cxx

@@ -41,26 +41,17 @@ Class that contains all the data information
 #include <iostream>
 
 #include <algorithm>
-#include <functional>
-#include <numeric>
-#include <random>
 
 #include "TMVA/DataSetFactory.h"
 
-#include "TEventList.h"
 #include "TFile.h"
 #include "TRandom3.h"
-#include "TMatrixF.h"
-#include "TVectorF.h"
 #include "TMath.h"
 #include "TTree.h"
 #include "TBranch.h"
 
 #include "TMVA/MsgLogger.h"
 #include "TMVA/Configurable.h"
-#include "TMVA/VariableIdentityTransform.h"
-#include "TMVA/VariableDecorrTransform.h"
-#include "TMVA/VariablePCATransform.h"
 #include "TMVA/DataSet.h"
 #include "TMVA/DataSetInfo.h"
 #include "TMVA/DataInputHandler.h"

tmva/tmva/src/DataSetInfo.cxx

@@ -31,14 +31,8 @@ Class that contains all the data information.
 
 */
 
-#include <vector>
-
-#include "TEventList.h"
 #include "TH2.h"
-#include "TRandom3.h"
 #include "TMatrixF.h"
-#include "TVectorF.h"
-#include "TROOT.h"
 
 #include "TMVA/MsgLogger.h"
 #include "TMVA/Tools.h"
@@ -50,6 +44,8 @@ Class that contains all the data information.
 #include "TMVA/Types.h"
 #include "TMVA/VariableInfo.h"
 
+#include <vector>
+
 ////////////////////////////////////////////////////////////////////////////////
 /// constructor
 

tmva/tmva/src/Factory.cxx

@@ -71,26 +71,23 @@ evaluation phases.
 #include "TMVA/ResultsClassification.h"
 #include "TMVA/ResultsRegression.h"
 #include "TMVA/ResultsMulticlass.h"
-#include <list>
-#include <bitset>
-#include <set>
 
 #include "TMVA/Types.h"
 
 #include "TROOT.h"
 #include "TFile.h"
-#include "TLeaf.h"
-#include "TEventList.h"
 #include "TH2.h"
 #include "TGraph.h"
 #include "TStyle.h"
-#include "TMatrixF.h"
-#include "TMatrixDSym.h"
-#include "TMultiGraph.h"
 #include "TPrincipal.h"
 #include "TMath.h"
 #include "TSystem.h"
 #include "TCanvas.h"
+#include "TMultiGraph.h"
+
+#include <bitset>
+#include <list>
+#include <set>
 
 const Int_t MinNoTrainingEvents = 10;
 // const Int_t  MinNoTestEvents     = 1;

tmva/tmva/src/MethodTMlpANN.cxx

@@ -46,7 +46,6 @@ for details on this ANN.
 #include "TMVA/MethodTMlpANN.h"
 
 #include "TMVA/Config.h"
-#include "TMVA/Configurable.h"
 #include "TMVA/DataSet.h"
 #include "TMVA/DataSetInfo.h"
 #include "TMVA/IMethod.h"
@@ -58,8 +57,6 @@ for details on this ANN.
 #include "TMVA/ClassifierFactory.h"
 #include "TMVA/Tools.h"
 
-#include "TLeaf.h"
-#include "TEventList.h"
 #include "TROOT.h"
 #include "TMultiLayerPerceptron.h"
 #include "ThreadLocalStorage.h"