ServerRun 37986
Creatorchuertas
Programlogreg-dis-python
DatasetAxon Cars
Task typeMulticlassClassification
Created2y260d ago
Failed! Action_stop
Note: this page autoupdates while a run is in progress
(see end of log file)
5h0m
255M
MulticlassClassification
52m35s
0.737
26s

Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
datamatrix original dimension: (72, 14000)
using k=10
(72, 14000)
datamatrix encoded dimension: (586, 14000)
(100, 586)
b is [[ 0.58037286]
 [ 0.70702079]
 [ 0.43672267]
 [ 0.38034646]
 [ 1.50347132]
 [-0.98572776]
 [ 0.99961671]
 [-1.38742228]
 [-0.01181916]
 [-0.62493767]
 [ 0.04126678]
 [-0.32879646]
 [ 0.10912491]
 [-0.04062107]
 [ 0.97179863]
 [ 1.78716999]
 [-0.56396639]
 [-0.54886479]
 [ 0.59409194]
 [ 0.08597764]
 [-0.28367008]
 [ 0.10693934]
 [-0.8046857 ]
 [ 0.1266463 ]
 [ 0.33712775]
 [ 0.09923588]
 [-0.54697453]
 [-0.08656796]
 [ 0.04609177]
 [ 0.16419707]
 [ 0.76179322]
 [-0.42448829]
 [ 0.36033083]
 [-0.23881596]
 [ 0.28319463]
 [-1.01019626]
 [-1.43131044]
 [ 1.11095359]
 [-0.09912672]
 [-1.17547058]
 [-0.55687904]
 [-0.73622202]
 [-1.31291732]
 [ 0.9878079 ]
 [-0.22182465]
 [ 0.0394973 ]
 [ 0.76646403]
 [-0.55296437]
 [ 0.91969803]
 [-0.99075301]
 [-0.87526558]
 [-0.10718794]
 [ 0.72849159]
 [-1.5066277 ]
 [-0.60901978]
 [-0.4108406 ]
 [-0.20055112]
 [ 0.83555219]
 [ 1.72591614]
 [ 1.22078081]
 [-1.7438139 ]
 [-0.38996144]
 [ 1.05097351]
 [ 0.14826498]
 [ 0.45065911]
 [-0.34680228]
 [-0.68101958]
 [-0.67749294]
 [ 0.40485803]
 [-0.0348047 ]
 [ 0.61711424]
 [-1.36815096]
 [-0.81569718]
 [-1.60696201]
 [ 0.595786  ]
 [-0.64758678]
 [-0.57256399]
 [ 1.80359361]
 [ 0.92451876]
 [ 1.47166936]
 [-0.93533731]
 [-0.11608003]
 [ 0.73309091]
 [ 0.84200587]
 [-0.9412485 ]
 [-0.17606513]
 [ 0.57976642]
 [ 0.11661091]
 [ 0.779142  ]
 [-0.54339351]
 [-0.57886049]
 [ 0.52210059]
 [ 0.35448981]
 [-0.20674373]
 [ 0.10506935]
 [-0.31505434]
 [-0.09038035]
 [ 0.13416395]
 [-0.17273902]
 [ 1.18369691]]
RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 1.084D-19
 N =        58700     M =           10
 This problem is unconstrained.

At X0         0 variables are exactly at the bounds

At iterate    0    f=  4.60540D+00    |proj g|=  5.89074D-03

At iterate   10    f=  2.60625D+00    |proj g|=  6.76891D-03

At iterate   20    f=  2.33227D+00    |proj g|=  3.83716D-03

At iterate   30    f=  2.26237D+00    |proj g|=  1.12208D-03

At iterate   40    f=  2.24667D+00    |proj g|=  2.41766D-03

At iterate   50    f=  2.24214D+00    |proj g|=  1.47997D-04

At iterate   60    f=  2.24106D+00    |proj g|=  2.20457D-04

At iterate   70    f=  2.24075D+00    |proj g|=  3.99741D-05

At iterate   80    f=  2.24062D+00    |proj g|=  9.12028D-05

At iterate   90    f=  2.24053D+00    |proj g|=  1.40560D-04

At iterate  100    f=  2.24046D+00    |proj g|=  1.56831D-05

At iterate  110    f=  2.24043D+00    |proj g|=  7.15062D-06

           * * *

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
58700  110  113      1     0     0   7.151D-06   2.240D+00
  F =   2.2404273704740678     

CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL            

 Cauchy                time 7.996E-03 seconds.
 Subspace minimization time 4.097E+00 seconds.
 Line search           time 3.959E+02 seconds.

 Total User time 4.044E+02 seconds.

=== END program1: ./run learn ../dataset2/train --- OK [3155s]

===== 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 [0s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
datamatrix original dimension: (72, 14000)
datamatrix encoded dimension: (586, 14000)
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [26s]
=== 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
Worker killed run: Current time usage 5h0m exceeds allowed 5h0m

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