ServerRun 38001
Creatorchuertas
ProgramLR-sbc-nbr f64
DatasetAxon Cars
Task typeMulticlassClassification
Created2y260d ago
Done! Flag_green
36m2s
251M
MulticlassClassification
35m36s
0.611
20s
0.829
8s

Log file

... (lines omitted) ...
   1.72492486e+00   1.99318884e+00   2.47869666e+00   1.85008800e+00
   1.99318884e+00   2.94870029e+00   3.17184384e+00   3.45952591e+00
   3.45952591e+00   3.86499102e+00   3.86499102e+00   3.86499102e+00
   2.58569888e-02   2.00366006e-01   2.10013117e-01   6.11101727e-02
   1.08786751e-01   9.48693153e-02   2.45791486e-01   5.77906945e-01
   4.53607588e-01   4.58463706e-02   4.29861887e-01   6.78852770e-03
   5.74152379e-01   4.68566917e-01   1.77004821e-01   1.03284878e+00
   1.08199425e+00   1.09083604e+00   2.81075334e-01   2.57765419e-01
   3.65851878e-01   5.91534136e-01   1.02817369e+00   4.19580279e-01
   2.44761089e-01   1.28974462e+00   9.87039244e-01   1.50200184e-01
   1.44288323e-01   4.90434933e-01   3.73934772e-01   1.38203305e+00
   2.68292786e-02   1.63689045e-01   4.31003815e-01   1.72492486e+00
   1.11912776e-01   9.99224271e-02   4.80600756e-01   3.53445581e-01
   9.20552040e-01   1.72492486e+00   2.07323155e+00   2.25555311e+00
   3.45952591e+00   2.54073107e-01   8.08013856e-02   7.07990598e-01
   1.46709575e+00   2.76637873e+00   3.17184384e+00   3.45952591e+00
   3.86499102e+00   3.86499102e+00   5.77737897e-01   6.97408489e-01
   1.09240230e+00   2.47869666e+00   3.45952591e+00   3.86499102e+00
   3.86499102e+00   3.86499102e+00   3.86499102e+00   3.28874320e-01
   5.87846287e-01   1.85008800e+00   2.94870029e+00   3.45952591e+00
   3.86499102e+00   3.86499102e+00   4.54716851e-01   4.63793638e-01
   1.42264398e+00   2.07323155e+00   3.86499102e+00   3.86499102e+00
   3.86499102e+00   3.86499102e+00   3.86499102e+00   6.31783747e-01
   6.10640806e-01   2.07780836e+00   9.25829097e-01   3.72216263e-01
   1.49512675e+00   1.49159526e+00   1.36611760e+00   2.35998085e-01
   1.98577365e+00   3.63792284e-01   2.19396080e-01   2.52566865e-01
   4.90916204e-01   3.15361330e-01   1.34994474e+00   1.75721980e+00
   1.23182197e+00   6.29014804e-01   2.91436254e+00   1.71662382e+00
   7.15108066e-01   1.06163064e+00   2.25555311e+00   3.86499102e+00
   9.05693605e-01   1.12415100e+00   2.76637873e+00   7.73948566e-01
   4.55813820e+00   2.16024293e+00   4.55813820e+00   2.47869666e+00
   2.76637873e+00   4.55813820e+00   1.99318884e+00   4.55813820e+00
   2.13044805e-01   5.20674819e-01   2.04486545e-01   1.22139458e-01
   6.20127935e-01   7.01706210e-01   6.92434729e-01   8.64271204e-01
   1.05158030e+00   1.92574291e-01   5.87280257e-02   6.36055869e-02
   7.56298548e-01   5.17816560e-01   9.90741800e-01   9.33550559e-01
   1.04659276e+00   1.18511170e+00   7.58728394e-02   5.45515996e-01
   5.19376623e-01   5.05808430e-02   9.84431681e-01   1.02338471e-01
   1.05863290e+00   9.90937885e-01   5.32786509e-01   1.02396528e-01
   2.83890462e-01   9.13144798e-03   4.45352076e-02   5.69154154e-01
   6.32965082e-01   6.65244365e-01   3.69816500e-02   1.85881357e-01
   1.75851062e+00   2.50662083e+00   1.78310255e+00   1.55863405e-01
   8.01979567e-01   6.45868487e-01   2.33511553e-01   6.67608474e-01
   1.09240230e+00   7.26044272e-01   2.11340257e-01   2.74831349e-01
   2.16385465e-01   1.85450075e+00   4.57484636e-01   1.79536190e+00
   2.23868552e+00   1.08730870e+00   1.69249619e-01   6.84489208e-01
   2.05926478e+00   2.23028485e-01   3.79209298e-01   6.71433003e-01
   7.41647621e-01   3.97688858e-01   1.19352647e-01   2.24417136e-01
   3.83027919e-01   1.02206536e-01   2.97338023e-01   3.47493182e-01
   6.30679387e-01   6.12829217e-01   9.64256475e-01   1.00279014e+00
   2.49252282e-01   9.29765934e-01   2.35330925e-01   4.57812040e-02
   5.16759173e-01   3.71287039e-01   9.08562796e-01   1.30279270e+00
   8.56836226e-01   2.98863824e-01   3.20985235e-01   2.21825276e-01
   5.64833223e-01   9.64185692e-02   1.02661046e+00   1.27080742e+00
   5.04456833e-01   8.94576554e-01   3.05245637e-01   9.54280375e-02
   5.24976094e-02   1.03790904e-01   2.22384873e-01   2.29353543e-01
   3.30817955e-01   5.15086932e-01   1.75131989e-01   1.63652226e+00
   7.88969331e-01   8.60625320e-01   5.36140341e-01   4.81408438e-01
   3.32210928e-01   9.18325352e-01   4.26130849e-03   1.30004166e+00
   5.47256158e-01   9.03875973e-01   3.61842726e-01   7.39484402e-01
   1.93182632e+00   5.37260790e-01   4.49194838e-01   3.63445664e-01
   1.79274752e+00   4.29050689e-01   3.51788579e-01   1.11346538e+00
   1.46106310e+00   5.20195274e-02   1.27374428e+00   9.80507543e-01
   1.83879146e+00   4.72299721e-01   1.16570104e-02   6.62989528e-01
   4.36963816e-01   8.45029173e-02   1.71017966e-01   3.69375121e-01
   3.90707132e-02   9.11856949e-02   3.96158208e-02   2.21664787e-01
   2.15085571e-01   2.30603909e-02   1.68364271e-01   2.91293751e-02
   1.15486944e-01   2.95843284e-01   2.32473670e-01   3.63086791e-01
   2.02779812e-01   9.71817696e-02   1.04517912e-01   5.38939327e-02
   2.89675573e-01   1.28099809e-01   1.34355814e-01   1.71459564e-01
   6.03940270e-01   7.76993140e-01   8.24260813e-02   4.60614180e-03
   1.89490172e-02   2.39303874e-01   8.55474790e-02   1.68448693e-01
   3.11317481e-01   3.94060300e-01   9.37638241e-02   4.59650931e-01
   2.44391420e-01   1.72225764e+00   2.37625901e+00   7.27428551e-01
   1.28425186e+00   8.84059850e-02   8.57962202e-01   7.69698050e-03
   5.01747280e-02   1.00555895e+00   4.73212860e-01   1.61460569e+00
   1.02535811e+00   1.42831381e+00   4.41707536e-02   1.36344022e+00
   9.49506021e-02]
[  6.84193927e-01   1.96394126e-01   1.80357974e-01   2.49277495e-01
   4.69536555e-01   3.57230479e-01   6.95030283e-01   3.18322735e-01
   3.23637795e-01   1.13801213e+00   2.02326151e-01   6.97040334e-01
   2.76883170e-01   7.60071696e-01   5.74634431e-01   1.71369516e-02
   6.02332383e-01   2.22770642e-01   3.37410010e-01   2.92848743e-01
   4.06005929e-01   5.60690257e-01   1.17678552e+00   4.42647655e-01
   1.74820462e-01   2.22541679e-01   5.92348939e-01   5.19526479e-01
   2.26714176e-01   1.78728353e-01   9.78494119e-02   4.34475247e-01
   3.53191560e-01   3.19561767e-01   9.93344766e-01   1.79633949e-01
   3.53068693e-01   7.60731358e-01   2.10788026e-01   2.13705097e-01
   5.36287522e-03   2.87803060e-01   2.56180700e-01   1.62571201e-01
   3.98590998e-01   2.29087783e-01   2.10254835e-01   1.22137159e+00
   2.95642069e-01   7.05438704e-01   9.47015178e-01   8.84797465e-01
   1.02934727e+00   1.29982532e-01   1.32390500e+00   1.05630969e+00
   1.74728121e-01   6.46695176e-02   6.17449332e-01   1.33391350e-01
   3.72773764e-01   2.12962219e-01   2.85532912e-01   1.50103074e-01
   1.63478600e+00   2.56759256e-01   2.70027664e-03   3.11366975e-02
   5.87655668e-01   6.27516326e-01   7.67234419e-02   7.22229224e-01
   5.12974784e-01   7.04865792e-01   1.05696303e-01   1.61235195e-01
   1.91650284e-01   4.10215050e-01   1.46003717e+00   5.39588433e-01
   1.12841298e+00   4.38385927e-01   5.54217743e-01   3.51490880e-01
   8.02175340e-02   2.04055187e-01   8.09329382e-02   5.00377660e-01
   7.68940467e-02   3.02558861e-01   2.17351399e-01   1.19607163e+00
   5.46012669e-01   3.04529067e-01   1.78728353e-01   7.82510668e-02
   2.08062650e-01   6.08060228e-02   5.43746443e-01   4.97936907e-01
   5.47897176e-01   1.95210274e-01   2.00173063e-01   1.03055719e+00
   1.15685092e+00   2.33550591e+00   2.80550954e+00   2.80550954e+00
   3.02865309e+00   3.72180027e+00   1.51135343e-01   1.01913691e-01
   1.67100315e-01   1.97885605e-01   1.89266890e-01   7.06035897e-01
   4.01661687e-01   5.29679186e-01   1.88554675e-01   1.74728121e-01
   2.81547709e-01   2.20994391e-01   2.18393609e-01   1.23370425e-01
   2.41465571e-01   5.96639768e-01   4.78209447e-02   1.34855535e-02
   2.54370552e-01   1.82064544e-01   1.15752703e-01   2.15459791e-01
   6.52383184e-01   3.05798116e-02   1.04329611e-01   2.03766957e-01
   5.51387581e-01   9.35454411e-02   1.80949095e-01   2.71019392e-01
   4.45599382e-01   5.96639768e-01   2.11806304e-01   2.17837899e-01
   1.64413475e-01   3.39834254e-01   9.98865261e-02   6.40910192e-01
   4.16029401e-01   5.05785681e-01   3.94477791e-01   8.83696944e-01
   7.26068000e-01   1.49400738e-01   1.71192173e+00   1.17907405e+00
   4.26611510e-01   3.35765037e-01   4.23026020e-02   2.07274206e-01
   1.88411153e-02   2.98006919e-02   4.17140600e-03   5.64799852e-01
   4.90501929e-01   7.66889994e-01   3.66065266e-01   4.67854469e-01
   4.73365646e-01   2.57881381e-01   3.89315384e-03   9.03402015e-01
   8.88586929e-01   1.05630969e+00   9.49211551e-01   4.25963407e-01
   8.31428516e-01   9.49211551e-01   9.49211551e-01   1.04765162e+00
   1.08274294e+00   1.93004080e+00   3.86337611e-01   1.06504337e+00
   2.33550591e+00   2.21772288e+00   1.77589012e+00   1.93004080e+00
   2.33550591e+00   2.62318798e+00   2.80550954e+00   1.41318925e-01
   3.44781492e-01   1.18778618e+00   1.19186959e-01   4.45639844e-01
   2.13288005e-01   7.11361852e-01   8.48622164e-02   1.08392714e-01
   3.07782203e-01   6.29872679e-02   1.39499522e+00   1.35634542e-01
   3.27808395e-01   2.00872436e-01   4.60503733e-01   9.33746915e-03
   5.59023856e-01   4.14307017e-01   1.90748909e-01   2.23933789e-01
   5.21682427e-01   1.02964663e-01   1.52237619e-01   1.99369027e-01
   1.70017051e-03   8.52910705e-01   1.65353914e-01   3.01840615e-01
   1.82367667e-01   2.92712010e-02   6.06453673e-02   1.14960248e-01
   5.30260035e-01   1.21229861e-01   1.96204804e-01   5.59494800e-01
   4.90066294e-01   1.31887155e-01   1.00558755e+00   4.92177464e-01
   8.31428516e-01   6.22005148e-01   8.17635193e-01   3.93163576e-01
   1.32346599e-01   1.61823258e-01   2.99077137e-01   6.47124798e-01
   3.16444882e-01   1.23013982e-01   1.06841123e-01   3.29208193e-02
   1.70689725e+00   3.04073590e-01   8.73988130e-01   4.60249869e-01
   2.39012896e-01   7.90606521e-01   8.45414757e-01   8.59599392e-01
   8.04029541e-01   1.58173411e+00   3.89595763e-01   7.26068000e-01
   8.59599392e-01   9.18439892e-01   1.47050847e+00   1.58173411e+00
   1.58173411e+00   1.84999810e+00   2.33550591e+00   2.46903730e+00
   2.62318798e+00   2.80550954e+00   3.02865309e+00   3.31633517e+00
   3.31633517e+00   3.72180027e+00   3.72180027e+00   3.72180027e+00
   7.71027206e-02   8.97883347e-02   8.91738954e-02   8.20805734e-02
   2.78067095e-01   3.44373412e-01   2.15276355e-02   8.09300385e-02
   1.00448074e+00   9.36436634e-01   1.64172055e-01   5.30075778e-02
   1.12305849e-01   4.17944118e-01   1.22122319e-01   6.99365662e-02
   8.13079377e-01   1.62887146e-01   7.86701668e-01   2.44259325e-01
   4.35127775e-01   3.75557853e-01   4.53182357e-01   2.03138957e-01
   6.75413554e-02   6.66915049e-01   1.09874329e+00   2.18567205e-01
   2.99493929e-01   6.59606734e-02   8.01575552e-01   9.89057460e-01
   1.83906903e+00   1.14411189e+00   1.72370437e+00   2.33550591e+00
   5.31235266e-02   1.01964979e+00   3.37410010e-01   2.07957254e+00
   1.49717672e+00   1.58173411e+00   3.21097465e+00   2.91087006e+00
   3.31633517e+00   4.73365646e-01   1.35859056e+00   1.27945324e+00
   2.51782747e+00   3.49865672e+00   3.02865309e+00   3.31633517e+00
   3.72180027e+00   3.72180027e+00   8.22694836e-01   9.70264960e-01
   1.67410743e+00   2.33550591e+00   3.31633517e+00   3.72180027e+00
   3.72180027e+00   3.72180027e+00   5.10809463e+00   1.19108409e+00
   1.15685092e+00   1.70689725e+00   3.72180027e+00   4.41494745e+00
   3.72180027e+00   3.72180027e+00   6.21707985e-01   1.03055719e+00
   2.01705218e+00   1.93004080e+00   3.72180027e+00   3.72180027e+00
   5.10809463e+00   3.72180027e+00   3.72180027e+00   5.31235266e-02
   8.27328522e-01   4.35265800e-01   1.49400738e-01   8.53941102e-01
   7.70627125e-02   1.22419629e-01   4.52774665e-01   3.79188832e-01
   4.53401952e-01   5.90030844e-01   3.33601315e-01   1.73563340e-02
   1.30996459e-04   5.77184369e-01   1.27231499e-01   2.83713075e-01
   6.78802747e-01   2.17980496e-01   2.53175030e-01   4.59864959e-01
   8.66767882e-01   2.07957254e+00   2.11236236e+00   3.72180027e+00
   9.22778294e-01   1.70689725e+00   2.62318798e+00   2.33550591e+00
   4.41494745e+00   3.31633517e+00   4.41494745e+00   2.33550591e+00
   3.49865672e+00   4.41494745e+00   2.62318798e+00   4.41494745e+00
   1.11382987e-01   9.95683638e-02   5.91436391e-01   8.11516370e-02
   4.42748547e-01   1.08392714e-01   3.27808395e-01   6.13235469e-01
   1.43941789e+00   9.63005917e-02   4.72505640e-01   6.87835404e-02
   2.42088787e-02   1.57759941e-01   3.65855301e-01   5.63164648e-01
   1.95439749e-01   1.04192095e+00   4.33658987e-01   7.44376990e-02
   2.63120456e-01   3.84030919e-01   4.27287034e-01   7.26068000e-01
   6.00718083e-02   2.77038025e-02   1.52457570e+00   1.70020025e-01
   4.85180161e-02   7.60240597e-02   1.92686190e-01   1.28347328e-01
   3.54874097e-03   3.30371485e-02   1.80172396e-01   5.50690474e-01
   1.53572549e-01   4.11952670e-01   2.85128504e-01   1.70204782e+00
   5.37352263e-01   6.55916016e-02   3.24778263e-01   5.91755662e-01
   2.11236236e+00   4.42439531e-01   1.97198346e-01   4.18022095e-01
   1.00708225e-01   9.33013303e-02   4.67893101e-01   2.14654314e-01
   2.72550817e-02   3.93173585e-01   2.16910433e-01   4.32867206e-01
   3.38766862e-01   5.73008351e-01   4.26372247e-01   7.39066423e-01
   7.67638343e-01   5.40879604e-01   1.47583728e-01   1.24159239e-01
   2.90820430e-02   5.71815404e-01   1.59763525e-01   5.92253072e-02
   1.26173095e-02   4.69638471e-01   9.42291108e-01   8.59599392e-01
   2.80255855e-01   3.14520449e-01   2.97757353e-01   1.27721350e-01
   3.20878330e-02   2.12247795e-02   2.87727497e-02   9.10209393e-01
   1.13153311e+00   2.72045231e-01   3.66546113e-03   2.51796110e-02
   5.59746784e-01   4.53076643e-01   4.54769407e-01   6.86246506e-01
   5.18488292e-02   7.51385808e-01   5.29073091e-01   2.00567965e-01
   3.88182779e-02   3.10396071e-01   3.65575620e-01   3.70961907e-02
   5.82264820e-01   1.65930039e-01   2.11984224e-01   6.36377919e-02
   3.89756418e-01   3.95865376e-01   1.00669313e+00   3.16177019e-02
   2.25292712e-01   3.37410010e-01   9.80960249e-01   1.15685092e+00
   4.47629674e-01   3.15062711e-01   1.06702103e-02   6.72031407e-01
   1.34430733e-01   6.67343829e-01   4.71218884e-02   1.50257526e-01
   2.75346300e-01   7.35932758e-01   5.29986250e-01   4.63703735e-01
   5.83824667e-01   3.79188832e-01   1.09801165e-01   6.10247991e-01
   1.81854482e-01   1.02043906e+00   5.29109642e-02   8.06180274e-01
   5.80574202e-01   2.27693663e-01   1.30118808e-01   2.93557531e-02
   2.31686474e-02   1.48358528e-01   4.34716199e-01   2.12473341e-01
   1.84171170e-02   1.51439420e-01   3.11555017e-01   2.38751865e-01
   1.98385259e-01   2.96626670e-02   2.56842419e-01   4.80757873e-01
   5.29870078e-02   1.20386845e-01   8.05658061e-02   3.73423445e-02
   8.50368204e-02   5.24652067e-01   9.75265177e-01   3.14650310e-01
   3.21058639e-02   3.36201704e-03   6.07646648e-02   7.28860253e-02
   8.72403388e-02   2.66812717e-01   2.41865965e-01   5.57385047e-02
   7.44107845e-01   6.74704380e-01   3.62646987e-01   5.28224411e-01
   3.13807849e-01   6.40272640e-01   9.06109400e-01   6.77277836e-01
   4.64059398e-01   4.63703735e-01   1.00115295e+00   3.06523188e-01
   4.11425090e-02   1.92039263e-01   1.94389880e-01   6.13590016e-01
   2.29087783e-01   1.57150455e+00   6.68223710e-02   8.10799220e-01
   2.79570393e-01]
lambs, mean: 0.00238537208838, var:1.97044698032e-05
mean lambda: 0.00238537208838
(100, 569)
b is [[ 0.103366  ]
 [ 0.1427217 ]
 [-0.27321797]
 [-0.02687787]
 [-0.01126568]
 [ 0.40358187]
 [ 0.20324635]
 [-0.14063522]
 [ 0.17915237]
 [-0.39533843]
 [ 0.06455938]
 [-0.44576249]
 [-0.23087778]
 [ 0.09712463]
 [ 0.05697316]
 [ 0.14665708]
 [-0.28783687]
 [-0.34174094]
 [-0.0311185 ]
 [ 0.15686602]
 [-0.72586315]
 [-0.20299205]
 [ 0.51884855]
 [-0.5107946 ]
 [-0.26822158]
 [ 0.38704208]
 [-0.22027341]
 [ 0.2013891 ]
 [ 0.09657582]
 [ 0.03293582]
 [ 0.16711301]
 [-0.21093459]
 [ 0.14267138]
 [-0.44725173]
 [ 0.53365695]
 [ 0.08619511]
 [-0.22821003]
 [ 0.48898551]
 [ 0.30550882]
 [-0.21835884]
 [-0.2060665 ]
 [-0.25174344]
 [-0.30426184]
 [ 0.68738807]
 [ 0.28052135]
 [ 0.39805452]
 [-0.04442297]
 [-0.14841886]
 [-0.11796215]
 [ 0.26266887]
 [ 0.06350096]
 [-0.26351229]
 [ 0.11320616]
 [-0.70804353]
 [-0.13316312]
 [ 0.19706374]
 [-0.10728827]
 [-0.20137469]
 [-0.10660772]
 [-0.17028291]
 [ 0.01480498]
 [-0.65835628]
 [ 0.11297538]
 [ 0.01370612]
 [-0.10481666]
 [-0.28745594]
 [-0.59782779]
 [ 0.01328145]
 [ 0.22644851]
 [ 0.04767954]
 [ 0.08775057]
 [-0.1191812 ]
 [-0.17253354]
 [-0.15502048]
 [ 0.46798702]
 [ 0.12521109]
 [ 0.31543284]
 [ 0.37813961]
 [-0.14509615]
 [ 0.29960145]
 [ 0.18407749]
 [-0.07442908]
 [ 0.0923068 ]
 [-0.10683916]
 [-0.07121948]
 [ 0.57006314]
 [ 0.24909007]
 [ 0.3224055 ]
 [-0.18960993]
 [-0.13382997]
 [ 0.69658026]
 [ 0.29886375]
 [ 0.30189394]
 [ 0.08412622]
 [-0.233361  ]
 [-0.70123349]
 [-0.54727613]
 [ 0.33514753]
 [ 0.47682236]
 [ 0.04683626]]
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=  4.60669D+00    |proj g|=  4.59158D-03

At iterate   10    f=  3.20844D+00    |proj g|=  1.66322D-03

At iterate   20    f=  3.15238D+00    |proj g|=  1.91855D-03

At iterate   30    f=  3.14535D+00    |proj g|=  1.29890D-04

At iterate   40    f=  3.14426D+00    |proj g|=  3.02779D-04

At iterate   50    f=  3.14401D+00    |proj g|=  5.95987D-05

At iterate   60    f=  3.14395D+00    |proj g|=  1.60360D-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   69   71      1     0     0   8.821D-06   3.144D+00
  F =   3.1439364063519379     

CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL            

 Cauchy                time 0.000E+00 seconds.
 Subspace minimization time 2.056E+00 seconds.
 Line search           time 2.188E+02 seconds.

 Total User time 2.244E+02 seconds.

=== END program1: ./run learn ../dataset2/train --- OK [2136s]

===== 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
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 [20s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [1s]

===== 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 [1s]
=== 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 [8s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [1s]


real	36m6.982s
user	17m4.364s
sys	18m26.629s

Run specification Arrow_right
Results Arrow_right


Comments:


Must be logged in to post comments.