ServerRun 27692
Creatorsidaw
Programlogreg-python
Datasettrains
Task typeMulticlassClassification
Created266d18h ago
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1s
38M
MulticlassClassification
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0
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0.333
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Log file

===== MAIN: learn based on training data =====
=== START program1: ./run learn ../dataset2/train
RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 1.084D-19
 N =          134     M =           10
 This problem is unconstrained.

At X0         0 variables are exactly at the bounds

At iterate    0    f=  6.93844D-01    |proj g|=  1.07220D+00

At iterate   10    f=  7.13348D-03    |proj g|=  4.02864D-03

At iterate   20    f=  6.05164D-03    |proj g|=  1.29654D-04

At iterate   30    f=  5.99722D-03    |proj g|=  1.63741D-04

           * * *

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
  134   38   45      1     0     0   9.416D-06   5.993D-03
  F =  5.99293065986470502E-003

CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL            

 Cauchy                time 0.000E+00 seconds.
 Subspace minimization time 0.000E+00 seconds.
 Line search           time 4.000E-03 seconds.

 Total User time 1.600E-02 seconds.

=== END program1: ./run learn ../dataset2/train --- OK [0s]

===== 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
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s]

===== 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
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [1s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s]


real	0m2.250s
user	0m1.376s
sys	0m0.728s

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