ServerRun 37929
Creatorchuertas
Programlogreg-disnb-python
DatasetAxon Cars
Task typeMulticlassClassification
Created2y262d ago
Done! Flag_green
1h5m
251M
MulticlassClassification
1h5m
0.611
19s
0.820
9s

Log file

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   1.37771850e-02   1.01673965e+00   2.06267540e-01   7.96158795e-01
   2.70076565e-01   3.35254410e-01   5.54331734e-01   4.31504588e-01
   5.41545136e-01   2.87767743e-01   6.72347571e-01   2.60343440e-01
   1.48866626e-01   1.30061676e+00   1.96933027e-01   2.21341368e-01
   2.60290655e-02   1.04557318e-01   4.27297127e-02   9.29781591e-01
   1.69604696e-01   5.63601789e-01   7.03514164e-01   1.05446187e-01
   1.51703733e-01   8.99698484e-02   2.39074286e-01   4.66056866e-02
   4.32748613e-01   2.26264126e-01   4.27926066e-01   8.43903754e-01
   2.44987850e-01   5.82114488e-01   1.58081699e-01   8.35935351e-03
   3.83068838e-02   2.38372115e-01   2.68308218e-01   3.49234708e-01
   1.90771823e-03   1.32096151e-01   5.54090447e-02   3.35254410e-01
   1.44199173e-01   4.36111036e-02   8.08874679e-01   1.84431520e-01
   8.22392743e-02   3.19508528e-01   3.67916722e-01   5.33494146e-01
   3.08538113e-01   5.85266122e-02   6.35002904e-01   6.72008100e-01
   4.76149925e-01   1.76826640e+00   6.96267755e-01   3.11792923e-01
   3.98128415e-02   4.64122443e-02   6.92929366e-01   6.15526357e-02
   2.02807393e+00   3.95098125e-01   1.19059438e+00   3.43912472e-01
   2.74300658e-01]
lambs, mean: 0.00238537208838, var:1.99231033738e-05
mean lambda: 0.00238537208838
(100, 569)
b is [[  9.75216420e-02]
 [ -9.98418096e-02]
 [ -6.19784522e-01]
 [  1.99995049e-01]
 [ -5.50043311e-02]
 [  5.05983757e-01]
 [  3.42256629e-01]
 [ -2.49674142e-01]
 [  8.44831481e-02]
 [ -8.89363679e-01]
 [  6.49196161e-02]
 [ -3.28436207e-02]
 [ -1.93050870e-04]
 [  2.51200452e-01]
 [  1.44034617e-01]
 [  2.38548024e-02]
 [ -5.48902507e-01]
 [ -1.89287791e-01]
 [ -5.18238255e-01]
 [ -6.67665375e-03]
 [ -5.45851861e-01]
 [ -2.00562963e-01]
 [  5.04486795e-01]
 [ -5.18342251e-01]
 [ -3.17243373e-01]
 [  3.72337984e-01]
 [  2.71305789e-02]
 [  2.33280286e-01]
 [  6.81508894e-03]
 [ -3.79389736e-03]
 [ -1.51112723e-01]
 [ -3.20099441e-01]
 [  4.85355152e-02]
 [ -5.55461135e-01]
 [  5.62803338e-01]
 [ -7.78357081e-02]
 [ -3.66457309e-01]
 [  1.55421361e-01]
 [  4.15294159e-01]
 [ -3.13899832e-01]
 [  1.07181285e-01]
 [ -3.44412372e-02]
 [  1.30230459e-01]
 [  4.53601632e-01]
 [  2.83224153e-01]
 [  3.83395463e-01]
 [ -8.56683775e-02]
 [  2.14698862e-01]
 [  3.05241456e-01]
 [  2.92853772e-01]
 [  2.21635902e-01]
 [ -5.04295429e-01]
 [ -1.09562310e-02]
 [ -9.39739357e-01]
 [  1.20012363e-01]
 [  4.95271748e-02]
 [ -4.09933714e-01]
 [  1.59442649e-02]
 [ -1.99608448e-02]
 [ -1.32565653e-01]
 [  9.44494499e-02]
 [ -6.70098994e-01]
 [ -2.23481377e-01]
 [ -6.35565116e-02]
 [ -3.26883775e-01]
 [ -2.35237863e-01]
 [ -5.51326833e-01]
 [ -1.96423253e-01]
 [  4.24677402e-01]
 [ -2.33298687e-01]
 [ -5.51060592e-02]
 [  2.01582544e-01]
 [  5.41078019e-02]
 [ -1.98479551e-01]
 [  4.00127000e-01]
 [  7.20580676e-02]
 [  3.75498869e-01]
 [  1.42501947e-01]
 [ -4.39957240e-02]
 [  6.23119668e-01]
 [  2.54319341e-01]
 [  9.76233600e-02]
 [  4.41431362e-01]
 [  1.73680496e-02]
 [  1.16818326e-03]
 [  2.24136723e-01]
 [  6.04699191e-01]
 [  5.22124019e-01]
 [  1.49922975e-02]
 [ -4.70097308e-01]
 [  5.64154836e-01]
 [  6.34013429e-01]
 [  2.61618942e-01]
 [ -2.29200187e-03]
 [ -4.60922898e-01]
 [ -2.94627863e-01]
 [ -5.04379020e-01]
 [  3.30783474e-01]
 [  2.49051284e-01]
 [  2.47305712e-02]]
RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 1.084D-19
 N =        57000     M =           10
 This problem is unconstrained.

At X0         0 variables are exactly at the bounds

At iterate    0    f=  4.60715D+00    |proj g|=  4.57173D-03

At iterate   10    f=  3.21892D+00    |proj g|=  2.81639D-03

At iterate   20    f=  3.16309D+00    |proj g|=  2.85004D-03

At iterate   30    f=  3.15547D+00    |proj g|=  2.33439D-04

At iterate   40    f=  3.15425D+00    |proj g|=  3.16854D-04

At iterate   50    f=  3.15399D+00    |proj g|=  5.27757D-05

At iterate   60    f=  3.15392D+00    |proj g|=  2.13223D-05

At iterate   70    f=  3.15390D+00    |proj g|=  1.07851D-05

           * * *

Tit   = total number of iterations
Tnf   = total number of function evaluations
Tnint = total number of segments explored during Cauchy searches
Skip  = number of BFGS updates skipped
Nact  = number of active bounds at final generalized Cauchy point
Projg = norm of the final projected gradient
F     = final function value

           * * *

   N   Tit  Tnf  Tnint  Skip  Nact     Projg        F
57000   74   77      1     0     0   9.329D-06   3.154D+00
  F =   3.1539001330117475     

CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL            

 Cauchy                time 4.028E-03 seconds.
 Subspace minimization time 2.317E+00 seconds.
 Line search           time 2.398E+02 seconds.

 Total User time 2.458E+02 seconds.

=== END program1: ./run learn ../dataset2/train --- OK [3923s]

===== MAIN: predict/evaluate on train data =====
=== START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in
=== END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [1s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
d=72, n=14000 nd=1008000
datamatrix original dimension: (72, 14000)
datamatrix encoded dimension: (569, 14000)
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [19s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [2s]

===== MAIN: predict/evaluate on test data =====
=== START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in
=== END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [0s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
d=72, n=6000 nd=432000
datamatrix original dimension: (72, 6000)
datamatrix encoded dimension: (569, 6000)
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [9s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]


real	65m55.347s
user	29m0.625s
sys	35m48.754s

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