PndMvaDataSet.h File Reference

#include <iostream>
#include <fstream>
#include <string>
#include <vector>
#include <map>
#include <set>
#include <algorithm>
#include <cmath>
#include <cassert>
#include <limits>
#include <typeinfo>
#include <exception>
#include <utility>
#include "TFile.h"
#include "TTree.h"
#include "TRandom3.h"
#include "PndMvaClass.h"
#include "PndMvaVariable.h"
#include "PndMvaVarPCATransform.h"

Go to the source code of this file.

Classes
class	PndMvaDataSetException
class	PndMvaDataSet

Typedefs
typedef enum AppType	AppType
typedef enum NormType	NormType

Enumerations
enum	AppType {   UNKAPP = 0, TRAIN = 1, CLASSIFY = 2, TMVATRAIN = 10,   TMVACLS = 20, PRE_INIT_EVTS = 30 }
enum	NormType {   NONORM = 0, VARX = 1, MINMAX = 2, MEDIAN = 3,   VARNORM = 4 }

Typedef Documentation

AppType

typedef enum AppType AppType

NormType

typedef enum NormType NormType

Enumeration Type Documentation

AppType

enum AppType

Enumerator
UNKAPP
TRAIN
CLASSIFY
TMVATRAIN
TMVACLS
PRE_INIT_EVTS

Definition at line 50 of file PndMvaDataSet.h.

                     {
  UNKAPP = 0,
  TRAIN = 1,         // Training algorithm.
  CLASSIFY = 2,      // Read weights to do classification.
  TMVATRAIN = 10,    // Provide input for TMVA Training.
  TMVACLS = 20,      // TMVA classification.
  PRE_INIT_EVTS = 30 // Pre-initialized event data.
} AppType;

NormType

enum NormType

Enumerator
NONORM
VARX
MINMAX
MEDIAN
VARNORM

Definition at line 60 of file PndMvaDataSet.h.

                      {
  NONORM = 0, // Do nothing
  VARX = 1,   // Use Sample variance
  MINMAX = 2, // Use Sample Min and Max
  MEDIAN = 3, // Use median and interquartile range (IQR).
  VARNORM = 4 // Variable Normalize Transform
} NormType;