Main Page
+
Namespaces
Namespace List
+
Namespace Members
+
All
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
+
Functions
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
+
Variables
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
+
Typedefs
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
+
Enumerations
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
z
+
Enumerator
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
+
Classes
Class List
Class Index
Class Hierarchy
+
Class Members
+
All
:
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
~
+
Functions
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
~
+
Variables
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
+
Typedefs
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
+
Enumerations
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
+
Enumerator
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
+
Properties
_
a
c
d
e
f
l
m
o
p
s
t
u
v
+
Related Functions
:
_
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
Package Documentation
•
All
Classes
Namespaces
Files
Functions
Variables
Typedefs
Enumerations
Enumerator
Properties
Friends
Macros
Modules
Pages
src
TopQuarkAnalysis
TopEventSelection
python
TtFullHadSignalSelMVATrainer_cfi.py
Go to the documentation of this file.
1
import
FWCore.ParameterSet.Config
as
cms
2
3
#
4
# module to make mvaTraining for jet parton associations
5
#
6
buildTraintree = cms.EDAnalyzer(
"TtFullHadSignalSelMVATrainer"
,
7
#input tags used in the example
8
jets = cms.InputTag(
"selectedPatJets"
),
9
10
#three possibilities:
11
# whatData=-1: in your training-file both, signal and background events are available
12
# whatData=1: your training-file contains only signal events
13
# whatData=0: your training-file contains only background events
14
whatData = cms.int32(1),
15
16
#maximum number of training events to be used
17
# maxEv = -1: all events are used
18
# for example maxEv = 5000: writes only the first 5000 events to the training tree
19
maxEv = cms.int32(-1),
20
#event weight to be put here:
21
# standard is set to 1, so no weight is applied
22
# for example if different samples with different integrated luminosities have to be combined
23
weight = cms.double(1.0)
24
)
Generated for CMSSW Reference Manual by
1.8.14