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

Method : TMlpANN
Creator: cafuser6
Date   : Fri Feb  2 05:50:18 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_6729/work/macros3
Training events: 17366


#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'    [20.029,463.849]
                        LepBEn                        LepBEn    'F'    [10.0928,347.054]
                       dilmass                       dilmass    'F'    [16.0019,580.433]
                        metmag                        metmag    'F'    [0.151916,242.962]
                         addEt                         addEt    'F'    [34.1228,535.1]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [0.000411015,3.13478]
                    ntightjets                    ntightjets    'F'    [0,3]
                       jet1_Et                       jet1_Et    'F'    [0,65.0748]
                       jet2_Et                       jet2_Et    'F'    [0,45.9201]
                       dildphi                       dildphi    'F'    [0.000375363,3.14158]
                          lepR                          lepR    'F'    [0.439759,4.11823]
                        metsig                        metsig    'F'    [0.0146851,13.6185]


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

#input normalization
63.9517 119.665
19.6504 33.9413
46.5056 95.9314
21.1181 57.1812
48.4889 149.893
0.571672 1.5423
0.386878 0.133472
9.37025 3.16997
2.65899 0.337399
0.662881 1.98329
0.648838 2.36238
1.66958 4.9157
#output normalization
1 0
#neurons weights
-0.407595
-0.365028
-0.236354
-0.130187
-0.291988
0.0796262
0.312412
-0.369499
0.482129
0.219391
-0.299318
0.429084
0.0737925
-3.83984
0.0847508
0.295376
-1.32258
1.23675
1.70423
-0.316298
-2.264
-0.406847
0.365699
2.82419
-0.469005
-0.431043
-0.838473
0.690997
-0.463737
0.122845
-0.192038
0.117694
-0.258476
-0.552883
0.218961
2.15961
0.428471
0.0529429
#synapses weights
-0.186829
-0.234674
1.12355
0.311171
0.832034
-0.326955
-0.00433544
-0.38213
0.419285
-0.730108
-0.22848
-0.265247
-0.16215
-0.28196
-3.00784
-2.50094
-3.93288
-0.239212
-0.213733
0.456304
0.0889908
0.583841
0.108012
0.101304
-0.306308
1.36025
-0.0147047
-0.957174
-1.03839
-0.436625
0.669076
0.318315
0.385721
0.465144
-0.420506
-0.23151
0.11198
-0.45167
2.61439
-1.37892
-1.90876
0.321443
0.0385368
0.585757
0.147322
-0.492715
-1.05779
-0.557736
1.79871
-0.660226
-1.18514
-0.523988
0.0441025
0.728108
-0.192061
0.533367
-0.294897
-0.507608
-0.646406
-0.807051
0.635641
0.131147
1.85354
1.52625
0.703891
0.167061
0.875955
-0.269428
-0.419135
-0.336929
1.09267
-1.79626
1.1217
1.05986
2.00054
1.17702
1.40339
1.5665
-0.696562
-0.739337
-0.165817
0.538649
0.832235
0.0952316
0.336347
-0.341246
-0.407732
0.530433
0.268476
0.632601
-0.338431
-0.232653
-0.676639
-0.928686
0.307893
-0.413873
-0.271224
0.180394
-0.547954
-1.90471
-3.19519
1.85338
0.687006
0.631109
0.132243
0.136675
-0.0681769
-2.76578
-0.215985
-1.4349
-0.296704
0.384931
-0.376679
1.38147
-1.25817
-1.36843
0.200558
2.3709
-0.183028
0.460326
-0.976462
-0.308249
-2.4442
-0.611637
-0.0451434
0.89887
0.648064
-0.250004
-0.284204
0.370547
-1.25588
0.23047
-1.17799
2.9933
1.85276
0.0769328
0.780836
0.470305
0.0998846
0.333849
-0.211988
-0.447451
-0.00559805
-0.909983
-0.688965
-0.579201
-1.08802
0.146636
-0.231372
0.247671
0.17675
0.133299
0.384132
-0.393933
-0.613075
0.41875
0.41654
0.849362
-0.444587
-0.409982
0.674554
-0.664962
-0.362305
-0.393241
0.0339143
-0.679321
0.277757
-1.42347
0.06069
0.0826294
0.990749
-0.901184
-0.833569
0.237975
-0.648817
-1.04357
0.599754
0.572298
-0.675474
0.930154
-1.01532
0.33832
0.938559
-0.518652
-0.380372
0.672596
0.47105
1.36809
1.58277
1.02193
0.257652
-0.405153
0.531403
1.74398
0.312185
0.189551
-0.126281
-0.105776
-0.620552
0.151523
0.010523
0.195133
0.100738
0.0628735
-0.600338
-0.388656
-0.820463
-0.104749
-0.0778544
-0.00714871
0.224683
-0.182854
-0.301224
0.371815
-0.464509
0.111516
0.251357
-0.0941179
-0.140298
-0.157194
0.0268649
0.318571
0.0427576
-0.594839
0.314265
-0.351623
-0.0718849
0.17725
-0.336539
0.313674
0.485406
0.617792
0.386085
0.588295
-0.311765
-0.502205
0.343843
0.415267
0.188787
0.716011
0.104634
0.215436
-0.383835
0.312098
-0.0551358
0.281343
-0.213017
0.236998
-0.126803
-0.612588
0.0175829
0.0158623
0.323998
-0.164721
0.506184
-0.103451
0.0848474
-0.064821
0.107682
-0.209975
-1.05188
1.4191
0.274095
0.198865
0.36071
-1.88791
-1.45189
-0.302686
0.840372
-1.10919
0.0840127
-1.8513
0.797166
0.604646
0.516107
0.0396903
-0.374148
0.490703
-0.629557
-1.03304
-0.17275
0.180084
-0.0220944
0.59972
-1.51178
-0.553002
0.560334
-3.96826
-0.344232
3.37814
-0.963396
2.95512
2.77001
-0.071283
-2.88644
2.01203
-1.46901
1.98548
-0.266578
0.00423249
-0.0977943
0.13829
0.338761
-0.264352
-0.0685518
0.156397
0.252948
-0.0884828
0.221065
0.0946604
0.18666
-0.106949
0.211878
-0.396345
1.84827
-0.303537
0.00602221
-0.111904
-0.0661362
0.0965497
-1.09104
0.578077
-1.83831
0.0431775