#GEN -*-*-*-*-*-*-*-*-*-*-*- general info -*-*-*-*-*-*-*-*-*-*-*-

Method : TMlpANN
Creator: cafuser4
Date   : Sat Jan 27 14:55:32 2007
Host   : Linux patlx3.fnal.gov 2.4.21-37.ELsmp #1 SMP Wed Sep 28 12:13:44 CDT 2005 i686 i686 i386 GNU/Linux
Dir    : /fbsng/condor_local/execute/dir_16264/work/macros3
Training events: 156656


#OPT -*-*-*-*-*-*-*-*-*-*-*-*- options -*-*-*-*-*-*-*-*-*-*-*-*-

# Set by User:
V: False [verbose flag]
NCycles: 200 [Number of training cycles]
HiddenLayers: "N+1,N" [Specification of the hidden layers]
# Default:
D: False [use-decorrelated-variables flag (for backward compatibility, please switch to Preprocess)]
Preprocess: "None" [Variable Decorrelation Method]
PreprocessType: "Signal" [Use signal or background for Preprocess]
H: False [help flag]
##


#VAR -*-*-*-*-*-*-*-*-*-*-*-* variables *-*-*-*-*-*-*-*-*-*-*-*-

NVar 12
                        LepAEn                        LepAEn    'F'    [20.0051,560.525]
                        LepBEn                        LepBEn    'F'    [10.029,375.468]
                       dilmass                       dilmass    'F'    [0.576189,768.924]
                        metmag                        metmag    'F'    [0.0479105,420.914]
                         addEt                         addEt    'F'    [33.7775,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [1.11108e-05,3.13977]
                    ntightjets                    ntightjets    'F'    [0,7]
                       jet1_Et                       jet1_Et    'F'    [0,433.159]
                       jet2_Et                       jet2_Et    'F'    [0,163.44]
                       dildphi                       dildphi    'F'    [1.38344e-05,3.14158]
                          lepR                          lepR    'F'    [0.0129354,4.26952]
                        metsig                        metsig    'F'    [0.00413108,16.3867]


#WGT -*-*-*-*-*-*-*-*-*-*-*-*- weights -*-*-*-*-*-*-*-*-*-*-*-*-

#input normalization
59.1743 118.192
24.9217 59.1797
54.2958 108.495
21.5065 36.8351
35.9828 150.697
1.01 0.880738
0.535318 0.206012
18.8354 6.31573
5.80269 1.05719
0.976275 2.32067
0.868357 2.47462
1.94454 2.92089
#output normalization
1 0
#neurons weights
-0.264395
0.122539
0.0661948
0.331516
-0.479107
0.202645
0.375143
0.365543
0.415946
-0.0672956
0.134292
-0.182611
-1.44323
-0.649302
0.692231
0.803789
-1.48759
0.453865
-0.254226
-0.172165
0.500362
-1.97603
0.205213
-0.508287
-0.0785146
0.157847
0.00489177
-0.346559
-0.491567
-0.422548
0.391844
-0.510708
-0.395837
0.284265
-0.515825
0.412326
0.00117067
0.262973
#synapses weights
-0.0344774
1.56331
1.06105
-1.18218
-1.17149
0.866928
0.0484673
-0.486778
-0.0903654
0.504617
-0.338333
1.4153
-0.834766
1.30656
-0.67398
-1.23666
0.85361
-0.802636
-1.14097
-0.394141
0.436073
-0.221076
-0.837503
-0.173553
-1.21888
1.30676
-0.183418
-0.757485
0.0658579
-1.35292
0.0828496
0.743627
0.252012
-0.432649
-0.335288
-0.397718
-0.407957
-0.85663
1.08862
0.860061
0.0344156
-0.442505
-0.276114
-0.249195
0.147708
0.466277
0.456163
-1.59314
0.527399
-1.97734
1.98935
-0.521245
4.84469
-1.27765
-0.0471314
-1.45846
-0.292038
-1.24083
2.16519
1.31607
-0.568627
0.461956
-0.72266
1.35341
0.84537
0.344897
0.206811
0.0953281
-0.0213096
-0.401357
-1.23784
1.00095
0.311739
-0.394175
0.182185
-0.613926
0.890281
-0.0542726
0.140227
0.165801
0.0125448
-0.589445
0.232012
0.2643
0.122197
-0.409687
-0.653699
-0.482561
-0.832633
-0.0937727
0.222474
0.477209
0.00346183
-0.646299
-1.26918
-0.0882832
-0.504534
-0.719739
-0.479511
-0.249125
-1.31513
0.719952
0.0538026
-0.692625
-0.517006
0.217753
-0.381679
-0.494726
0.947215
-3.14732
-1.01646
0.0139991
-0.439392
-0.188151
-0.22566
0.197459
-0.0706217
0.623045
-0.181263
-0.979001
1.28852
-1.37301
0.520312
0.159057
1.00588
-0.66766
-0.375968
-0.586778
0.0629411
0.863811
0.150663
-0.908287
-0.620206
0.343762
-1.15187
-0.494574
-1.29471
0.69251
0.167666
-0.393572
0.0921226
-0.236479
-1.29789
0.612203
-0.785659
1.11089
3.6077
1.15028
0.146605
0.0778812
0.00788196
-0.202185
0.0246094
-0.978656
0.988104
-0.997981
0.248196
-0.152097
0.105862
0.256509
0.38313
0.190365
-0.225587
-0.539599
0.383501
0.207893
0.239036
-0.136215
0.153788
0.139211
-0.141553
-0.274079
-0.400223
0.0403671
0.478596
-0.322347
-0.449812
-0.32386
0.106685
-0.0957803
-0.281678
-0.532419
0.420953
0.120687
0.238372
-0.318466
-0.507197
-0.395183
0.277484
-0.70683
0.222387
0.503871
0.419398
-0.00313767
0.00430914
-0.00830445
0.364597
0.107995
-0.166618
-0.516257
-0.296007
0.286971
0.045729
0.0668535
0.255018
-0.282099
-0.519
-0.159477
-0.246824
0.210491
-0.253757
-0.15787
0.00800334
-0.479585
-0.0261206
0.306298
0.136837
-0.26609
-0.532347
-0.331992
-0.0898587
1.06892
0.528409
0.956904
0.539938
1.6244
-0.363015
0.187758
0.474467
-0.112214
1.01949
0.365897
-0.11861
1.57422
0.184798
0.0173121
0.0793384
-0.333944
0.195161
0.0689747
-0.265522
0.234654
0.0774005
0.224896
-0.138054
-0.378212
-0.165095
0.181305
0.114449
0.200229
-0.362649
-1.23334
-0.347971
-0.315321
0.673688
-0.174023
-0.524998
-0.345005
0.549215
-0.131083
-0.193471
0.051003
0.251705
0.63704
0.523761
-0.148902
-0.28352
-0.0467963
0.446956
-0.0322026
0.38601
-0.564891
0.702911
0.162913
-0.366737
-0.605578
-0.106138
0.107935
-0.666857
0.16069
-0.0240845
0.119266
0.251334
-0.393426
0.511231
-0.05153
-1.36806
1.10951
0.963045
-1.03464
-3.15192
0.0928602
0.897826
-0.689457
-0.285211
-1.15073
-1.37779
1.16578
-2.85561
0.197604
0.0143288
-0.100097
0.158429
-0.0927638
0.186687
0.0240186
-0.401766
-0.0818772
0.181369
-0.594793
0.233394
0.214228
0.195026
0.0245635
0.167354
0.248187
0.408442
-0.988786
0.0175382
-0.645574
0.253258
0.112805
1.41178
0.359355