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

Method : TMlpANN
Creator: cafuser4
Date   : Thu Feb  1 03:00:30 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_24729/work/macros3
Training events: 25780


#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'    [20.056,350.128]
                        LepBEn                        LepBEn    'F'    [10.0367,326.743]
                       dilmass                       dilmass    'F'    [16.0019,425.661]
                        metmag                        metmag    'F'    [0.0332514,279.806]
                         addEt                         addEt    'F'    [31.231,408.158]
                     dPhiMetLJ                     dPhiMetLJ    'F'    [4.9455e-05,3.13504]
                    ntightjets                    ntightjets    'F'    [0,5]
                       jet1_Et                       jet1_Et    'F'    [0,326.006]
                       jet2_Et                       jet2_Et    'F'    [0,127.353]
                       dildphi                       dildphi    'F'    [0.000191965,3.14159]
                          lepR                          lepR    'F'    [0.328769,4.25751]
                        metsig                        metsig    'F'    [0.0029975,13.5994]


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

#input normalization
21.3155 52.6939
16.6758 43.7762
22.8192 77.6585
20.36 14.8528
18.757 90.3668
0.598864 1.20391
0.509587 0.191001
16.6824 5.48319
5.24748 0.906884
0.856444 2.61331
0.780866 2.81032
1.85703 1.299
#output normalization
1 0
#neurons weights
-0.200704
0.189379
0.333312
-0.120103
-0.281475
-0.425647
0.190673
-0.106503
0.416024
0.0238841
0.330189
-0.451852
-0.618996
-0.769392
-0.439751
-0.384737
-0.710329
0.897096
0.342724
-0.368593
-0.726799
0.501571
0.482885
-0.026523
-0.299248
-0.30164
-0.243147
0.268534
-0.380852
-0.000183742
-0.421395
-0.148707
0.00818868
-0.615755
-0.222963
0.330076
-0.630141
0.266974
#synapses weights
0.118963
0.132316
-1.14914
1.06705
0.379513
0.070253
-0.689736
-0.169607
0.661816
0.433428
-0.191782
3.98995
-0.3951
0.0947818
0.0417015
-0.628969
-0.394139
-1.78496
0.013494
0.393787
0.614304
1.00458
0.473004
-2.95995
0.134952
-0.145552
-1.71022
2.79065
0.265569
0.610172
-0.469252
-0.12565
0.327504
-0.505701
-0.459429
1.28425
0.379485
0.206823
0.152869
1.06832
-0.9368
-0.791995
-0.382084
0.243424
0.0150003
0.189486
0.609344
-0.908051
0.074532
0.457465
-0.184052
0.194617
0.970386
0.728913
0.330658
-0.0816711
0.188745
-0.218215
-0.479235
1.82173
-0.0122395
-0.331785
-3.54463
0.34984
-1.02936
-1.26634
-0.134702
0.459952
-0.118463
0.83518
-0.593302
2.32397
0.378276
0.204255
0.268971
-0.819816
-0.644794
-0.546798
0.348393
-0.217976
0.0891276
0.330505
-0.382999
-1.08519
0.959308
0.250476
1.14515
0.297152
1.59663
-0.97104
-0.993962
-0.5428
-0.604865
0.797003
0.422817
0.476504
-0.776984
-0.0439259
0.0288412
0.944693
1.09645
1.40088
0.355745
-0.904902
-0.195369
0.0985911
-0.366855
-1.28648
0.146309
0.189899
-3.9102
0.400457
-0.552387
0.0846861
0.188263
-0.0894667
0.131147
0.427629
-0.454553
2.44502
0.476133
0.453189
1.65531
-1.46064
-0.109491
0.0710246
-0.517399
-0.673213
-0.501594
-0.234818
0.143239
0.31729
-1.05492
-1.30051
-2.00684
2.2264
0.982003
1.11342
-0.243782
0.00922254
-0.56633
-1.41417
-1.26646
2.21015
-0.365667
0.306498
2.20361
-2.31384
-1.40518
1.58434
0.262105
0.278742
-0.609954
-0.0163697
0.702866
-4.18191
0.235509
-1.08987
1.69685
-0.371031
0.262697
0.401446
-0.339557
0.335835
0.313429
0.414748
-0.810284
0.795561
-1.39464
0.525555
-0.199459
0.033673
-0.0148731
0.153693
0.225076
-0.277618
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0.0684003
0.292712
-0.127333
-0.14128
-0.205861
-0.407564
0.47508
0.699875
-0.173017
-0.0859506
0.116257
0.301576
-0.395073
-0.245491
0.477858
-0.114304
0.0335258
0.133544
1.94348
-1.77738
-0.268759
-1.92856
1.01987
1.64656
-0.983221
-0.787183
-1.71672
1.80538
1.0866
1.55402
-1.67679
-0.608722
-0.342193
-0.353386
-0.033651
-0.103337
0.110311
-0.327454
-0.105051
-0.240612
-0.142346
-0.464005
-0.294577
0.184774
0.277073
0.119203
0.512978
0.0755018
-0.01819
0.265349
0.164001
-0.0979848
-0.2066
0.13655
-0.0366088
0.217804
0.0461336
0.308638
0.101324
-0.854261
-0.368638
-0.379789
0.0789442
0.128213
-0.14958
-0.218407
-0.316626
-0.452682
0.550331
-0.056131
-0.328431
0.196508
-0.262594
0.24402
0.148145
0.388665
0.270947
0.285267
-0.0970807
0.405941
-0.239142
0.258452
-0.276281
1.28613
-1.56149
-0.0986835
-1.20314
1.2375
0.880575
-0.228065
-1.60697
-0.757276
0.950333
1.48999
1.03176
-1.70302
0.19566
-0.212954
-0.079451
-0.0553691
-0.65017
0.279434
-0.318281
-0.00288716
-0.190467
0.392741
-0.571004
0.361742
-0.547284
-0.0509569
-0.113756
-0.0968238
-0.151086
0.359761
0.500493
0.32599
-0.22621
0.112328
0.563619
-0.133137
-0.29047
-0.00785863
-0.3621
-0.38087
-0.175237
-0.799273
0.327126
-0.215832
-0.109478
-0.738293
-0.269048
-0.499126
0.310156
0.297371
0.593903
-1.48957
0.00477728
-0.44907
1.44084
0.359844
-0.415607
0.635117
-0.0488408
1.2061
-0.163669
0.184026
-0.543862