Update 'MVA Class'

MVA-Class.md

@@ -1,6 +1,20 @@
 The classes are defined in MVAclass.hpp, the functions performing the training are in MVA.cpp. The input variables are saved in [[TMVA_variables_KplusPi0Resolved.txt|Input-MVA-variables]]. 
 
 
+## Table of Contents
+* [Classes](#classes)
+    * [struct MVAconfiguration](#struct-mvaconfiguration)
+    * [struct MVA_def](#struct-mva_def)
+    * [class MVA_variables](#class-mva_variables)
+* [Functions](#functions)
+    * [MVA_variables::MVA_variables()](#mva_variables-mva_variables)
+    * [void MVA_variables::print()](#void-mva_variables-print)
+    * [vector <string> MVA_variables::GetAllReaderNames()](#vector-string-mva_variables-getallreadernames)
+    * [Int_t MVA_b2kmm()](#int_t-mva_b2kmm)
+    * [Int_t RunMore()](#int_t-runmore)
+    * [Int_t RunDDandLLKshort()](#int_t-runddandllkshort)
+    * [Int_t RunKplusPizeroResolved()](#int_t-runkpluspizeroresolved)
+    * [Int_t RunMVA()](#int_t-runmva)
 # Classes
 ### struct MVAconfiguration
 Defines basic properties of the used sample
@@ -35,7 +49,7 @@ Structure with information needed to read and define the variables used in train
 * **Functions:**
     * **MVA_variables()**               //default constructor
     * **MVA_variables(std::string DL)** // constructor
-    * **~MVA_variables()**              //destuctor        
+    * **~MVA_variables()**              //destuctor, sets NoBariables to zero and empties AllVariables        
     * **void print()**                  
     * **vector \<string> GetAllReaderNames()**
     * **int NumberOfVariables()**       // Returns `NoVariables` 
@@ -43,62 +57,53 @@ Structure with information needed to read and define the variables used in train
     * **vector \<string> GetAllBranches()** //Returns `AllBranches`
 
 
-
-# Functions and their parameters:
+# Functions 
 ### MVA_variables::MVA_variables()
-Reads the input file thePath+"/TMVA_variables_" + TheDecay + DL + ".txt";
+Reads the input file thePath+"/TMVA_variables_" + TheDecay + DL + ".txt" and initializes the [MVA_variables class](#class-mvavariables).
 * **Parameters**
     * std::string DL
 * **Return**
-
-### MVA_variables::~MVA_variables()
-
-* **Parameters**
-    * 
-* **Return**
+    * MVA_variables calss filled in from the input file.
 
 ### void MVA_variables::print()
-
-* **Parameters**
-    * 
-* **Return**
+Prints the contents of MVA_variables. Useful to check the input file was read correctly.
 
 ### vector \<string> MVA_variables::GetAllReaderNames()
-
-* **Parameters**
-    * 
 * **Return**
+    * Returns a vector of strings of all variables' ReaderNames.
 
-# Functions and their parameters:
 ### Int_t MVA_b2kmm()
-
-* **Parameters**
-    * 
+Training and testing of the BDT for final signal selection. The parameters are set inside the function, as well as in [[GlobalFunctions.hh|GlobalFunctions.hh]]. The results of the BDT training are saved in an .XML file and read-in by  [[TMVAClassificationApplication_b2kmm.cc|TMVA-Class-application]]. The settings of the tmva training are done using `BookMethod` function, see [TMVA Users Guide](https://root.cern.ch/download/doc/tmva/TMVAUsersGuide.pdf), section 3.1.5. 
 * **Return**
+    * 0 if something fails, otherwise 1
 
 ### Int_t RunMore()
-
+Sets the `MVAconfiguration` options and runs the training  (calls [MVA_b2kmm](#intt-mvab2kmm) for KS sample with 4 different configurations. 
 * **Parameters**
     * Int_t Run = 1
 * **Return**
+    * 0 if something fails, otherwise 1
 
 ### Int_t RunDDandLLKshort()
-
+Sets the `MVAconfiguration` options and runs the final training  (calls [MVA_b2kmm](#intt-mvab2kmm) for KS sample.
 * **Parameters**
     * Int_t Run = 1
 * **Return**
+    * 0 if something fails, otherwise 1
 
 ### Int_t RunKplusPizeroResolved()
-
+Sets the `MVAconfiguration` options and runs the final training  (calls [MVA_b2kmm](#intt-mvab2kmm) for K+pi0 sample.
 * **Parameters**
     * Int_t Run = 1
     * int config=0
     * string customTMbranch =""
     * bool gammaTM = false
 * **Return**
+    * 0 if something fails, otherwise 1
 
 ### Int_t RunMVA()
-
+Calls either RunDDandLLKshort(Run) or RunKplusPizeroResolved(Run)
 * **Parameters**
     * Int_t Run = 1
 * **Return**
+    * 0 if something fails, otherwise 1