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

Method : TMlpANN
Creator: cafuser3
Date   : Fri Dec  1 08:40:05 2006
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_1192/work/macros3
Training events: 206590


#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'    [20.0051,584.157]
                        LepBEn                        LepBEn    'F'    [10.0126,360.501]
                       dilmass                       dilmass    'F'    [6.24246,720.112]
                        metmag                        metmag    'F'    [0.0425408,420.914]
                         addEt                         addEt    'F'    [35.7271,1120.43]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [3.12551e-07,3.13908]
                    ntightjets                    ntightjets    'F'    [0,6]
                       jet1_Et                       jet1_Et    'F'    [0,405.869]
                       jet2_Et                       jet2_Et    'F'    [0,150.618]
                       dildphi                       dildphi    'F'    [2.63256e-05,3.14157]
                          lepR                          lepR    'F'    [0.229375,6.71867]
                        metsig                        metsig    'F'    [0.0033852,17.7844]


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

#input normalization
25.3095 64.0955
14.2559 32.8079
34.7693 49.2345
18.7003 57.891
30.1196 133.204
0.682139 2.04709
0.528394 0.202297
18.5391 6.17602
5.67795 1.0165
0.706905 1.31413
1.16635 1.71364
1.76754 5.34338
#output normalization
1 0
#neurons weights
0.163116
-0.0894259
0.194848
0.173336
0.377368
-0.0836545
-0.124516
0.145864
0.212135
0.197872
-0.460938
0.0676853
-0.769312
0.336335
-0.00160234
3.00411
0.0905999
-0.900298
-0.302105
0.379546
-0.557429
0.380346
-3.72872
1.61501
0.356324
0.49773
-0.313008
0.143494
0.551099
-0.0460405
0.635314
0.0602244
-0.256097
-0.321354
-0.0220132
-0.0416214
-0.263929
-0.353705
#synapses weights
0.936354
-1.39526
0.187199
-0.302347
1.65043
-0.514058
0.0149789
-1.15994
-0.246027
0.972061
-0.279712
0.820646
-0.170402
-0.857635
-0.189454
-0.260072
2.00188
0.302086
0.0558284
-0.0900211
0.18247
-1.03344
0.0342868
-1.26193
0.938283
-0.256162
1.67203
-0.312901
0.292429
-0.0253758
-0.182555
-0.158941
-0.014064
1.014
-0.296493
-0.0699863
0.389074
-0.809859
-3.45655
-0.268276
-0.177575
0.0251842
-0.0274457
0.163582
0.10467
0.540532
0.0426746
-0.228095
0.0916731
-0.74748
0.929816
-0.124008
-0.485816
0.374503
0.733015
0.117107
-0.0211464
-0.255119
0.243543
0.0804155
0.376428
-0.131084
-0.189373
0.910711
0.806048
-0.236857
-0.226475
-0.219141
-0.0312738
-0.207479
-0.0249137
-0.387789
-0.624593
-0.116723
-0.765502
0.205151
-0.849284
0.160804
-0.0374674
0.106157
-0.337387
-0.409472
-0.298224
0.416745
0.549159
-0.796447
1.08135
0.498378
0.611339
-0.141274
-0.0964084
-0.742217
-0.200124
0.51937
0.172689
0.292245
0.740513
-0.36499
0.7252
-0.48166
-0.476833
1.37554
0.0146781
-1.26147
0.226634
0.590686
0.0771766
0.624306
-0.246035
0.559732
-0.724739
-0.911464
-0.428586
-0.601425
-0.289686
0.326624
0.510465
-0.126364
0.136345
-0.494591
0.00359536
-0.516268
2.74183
0.347347
2.52188
-0.0700358
0.276478
-0.83925
-0.41115
-0.924689
0.10095
0.543103
-0.353326
0.669274
-1.18335
-0.615564
-0.208607
0.344447
0.184623
0.249387
-0.0796786
-0.359482
-0.134297
0.98876
0.180864
-1.67627
-2.40899
-1.01386
0.0163939
0.377382
-0.077508
0.356245
0.0723484
0.975456
-0.0649471
-0.778459
0.259795
0.413729
0.631064
0.0770959
-0.128636
-0.0759163
0.151345
0.455987
-0.44679
0.296126
0.160298
0.0892409
0.0726902
-1.27408
-0.603653
0.295787
0.511728
0.218716
-0.397171
0.302359
-1.2595
0.748902
0.00778594
-1.06208
-0.624495
-0.84487
0.360143
0.125356
-0.42863
0.0721911
-0.447703
0.220396
-0.407492
0.172074
-0.0111778
0.433956
0.0788152
0.0789796
-0.269914
0.13062
-0.388014
-0.424911
1.03275
0.326451
0.411923
0.36329
0.252211
-0.363118
-0.45717
-0.148113
-0.0117641
-0.219063
0.036236
0.206012
0.120269
-0.610669
0.290691
0.234983
-0.024232
0.201235
0.860905
-0.717563
0.523768
-0.819533
-0.299986
-0.419358
1.2493
0.125777
0.54857
0.799106
0.00964409
-0.78109
-0.334219
-1.05457
0.133603
-1.11394
0.17578
-0.703721
0.151551
1.14701
-0.790485
-0.583994
0.581272
-0.0115717
-0.240913
-0.579526
-0.217151
-0.253593
0.265527
0.365126
-0.830756
-1.10846
0.652088
-0.150226
1.84442
-0.651381
-0.55742
-0.257216
-0.891067
-0.708455
-0.0345526
-1.38472
1.19203
-1.73346
-0.503184
-0.0696908
-0.308364
1.8563
0.261321
-1.0165
-0.0341719
-0.45271
0.234028
-0.505049
-1.75138
0.869691
-0.881472
-0.254508
-0.137157
-0.28124
0.0116612
-0.141874
-0.064165
-0.142611
-0.150574
0.117771
-0.509303
-0.411485
0.49539
-0.336213
0.276338
-0.253741
0.450313
0.19957
0.153465
0.312464
0.453071
0.525419
-0.253781
-0.125337
0.228904
-0.0986303
0.175658
0.449295
0.469768
0.40918
-0.0625522
0.533011
-0.0675514
0.168542
-0.247228
0.496487
0.0685214
0.650842
-0.196112
0.629428
0.324338
-1.68272
-0.252228
-0.55278
0.894093
0.52204
-0.779374
1.29417
1.0646
-0.0844578
0.0639282
-0.0740592