ServerRun 38000
Creatorchuertas
ProgramLR-sbc-nbr f32
DatasetAxon Cars
Task typeMulticlassClassification
Created2y260d ago
Done! Flag_green
47m46s
251M
MulticlassClassification
47m18s
0.609
20s
0.826
9s

Log file

... (lines omitted) ...
   3.45557639e+00   3.86104150e+00   3.86104150e+00   3.86104150e+00
   1.50494993e-02   5.62325758e-02   9.91365504e-02   1.77533587e-01
   2.10383256e-01   9.63645143e-02   5.39770175e-02   3.80285256e-01
   2.59628069e-01   5.65204631e-01   1.01679054e-01   4.02225062e-01
   3.25779021e-02   1.91669259e-01   4.07281785e-01   1.35208102e+00
   9.92290003e-01   9.18081996e-01   1.91580129e-01   9.74105980e-01
   3.61902355e-01   3.07788012e-02   3.87892662e-01   4.23529802e-01
   2.40811567e-01   1.58677288e+00   1.09830050e+00   1.46250661e-01
   1.48237845e-01   4.94384456e-01   3.77884294e-01   1.38598258e+00
   4.56446617e-01   2.63729236e-01   1.12020147e+00   3.16789432e+00
   1.07963253e-01   9.59729045e-02   4.76651234e-01   3.49496058e-01
   9.16602518e-01   1.72097533e+00   2.06928203e+00   2.25160358e+00
   3.45557639e+00   2.50123584e-01   7.68518630e-02   7.04041076e-01
   1.46314622e+00   2.76242921e+00   3.16789432e+00   3.45557639e+00
   3.86104150e+00   3.86104150e+00   5.73788375e-01   6.93458966e-01
   1.08845277e+00   2.47474714e+00   3.45557639e+00   3.86104150e+00
   3.86104150e+00   3.86104150e+00   3.86104150e+00   3.24924797e-01
   5.83896764e-01   1.84613848e+00   2.94475077e+00   3.45557639e+00
   3.86104150e+00   3.86104150e+00   4.58666373e-01   4.59844115e-01
   1.41869446e+00   2.06928203e+00   3.86104150e+00   3.86104150e+00
   3.86104150e+00   3.86104150e+00   3.86104150e+00   8.77888006e-01
   2.21774688e+00   4.05856850e-02   1.01542764e+00   2.50123584e-01
   5.11115161e-01   1.25094629e+00   1.35118388e-01   3.85410843e-01
   1.65791629e+00   9.52559863e-01   2.15446558e-01   7.60949208e-01
   1.83772844e+00   3.19310852e-01   6.92582158e-01   2.22459622e+00
   3.17184549e-01   6.32964327e-01   2.91831207e+00   1.72057334e+00
   7.11158544e-01   1.05768112e+00   2.25160358e+00   3.86104150e+00
   9.09643128e-01   9.70669739e-01   4.55418868e+00   8.16519059e-01
   3.45557639e+00   2.15629340e+00   4.55418868e+00   2.47474714e+00
   2.94475077e+00   3.86104150e+00   1.98923932e+00   4.55418868e+00
   1.81461375e-01   4.45273316e-01   1.38687089e-01   2.20724283e-01
   6.60184178e-01   2.84957537e-01   7.63819827e-01   8.48488704e-01
   8.16519059e-01   1.96523814e-01   6.26775483e-02   5.96560643e-02
   7.60248071e-01   5.21766083e-01   9.86792277e-01   9.37500082e-01
   1.02619550e+00   1.24000267e+00   7.19233168e-02   5.41566474e-01
   2.45725585e-01   4.66313204e-02   4.40768804e-01   4.37603529e-01
   1.23882493e+00   1.13278668e+00   5.28836987e-01   4.65496452e-01
   1.70847118e-01   4.23395306e-01   2.18612350e-01   6.14873853e-01
   1.75291936e-01   2.02478076e-01   9.20599832e-01   2.62588335e-01
   1.76246015e+00   1.78705207e+00   1.04330693e+00   1.51913882e-01
   2.01248375e+00   1.35931433e+00   1.32561495e-01   2.37461075e-01
   9.16602518e-01   1.45880026e-01   3.06314746e-01   2.13851522e+00
   6.63006338e-01   4.98142780e-02   2.78780871e-01   8.37440324e-01
   2.10894402e+00   8.36559810e-01   7.01404284e-02   4.70081524e-01
   5.19734356e-01   1.23806245e+00   2.53755344e+00   1.72901221e+00
   1.34844466e+00   1.06621219e+00   1.24000267e+00   9.82570133e-02
   3.28613245e-01   2.85330741e-01   3.91018811e-01   3.71086768e-01
   4.40467836e-01   1.14848207e+00   9.62983306e-01   4.99509372e-01
   8.75062832e-02   3.67673655e-01   1.83887706e-01   9.46654863e-01
   1.20392414e+00   3.65792248e-01   7.62705075e-01   3.40661584e-01
   1.22915266e+00   2.94914301e-01   3.17035712e-01   2.25774799e-01
   9.24690466e-02   7.03306695e-01   4.52438595e-01   1.75208661e+00
   8.79533326e-01   6.22363045e-01   4.85480868e-02   1.18752933e-01
   4.61765778e-01   1.38468963e-01   2.50918813e-01   2.35220179e-01
   5.33407658e-01   9.69104404e-02   5.11137410e-01   1.64047178e+00
   8.60132365e-01   5.32190819e-01   7.42460632e-01   3.22915224e-01
   3.36160451e-01   9.22274874e-01   3.11785889e-04   1.29609214e+00
   5.78389637e-01   1.54407607e-03   7.05257915e-01   3.00942833e-01
   4.16395929e-01   1.12170859e+00   9.22274874e-01   2.21430453e+00
   1.18560423e+00   4.79603265e-01   6.76403697e-01   1.56500924e+00
   3.38558449e-01   2.69800330e-02   3.94329508e-01   1.84274098e+00
   1.14625490e+00   6.90200347e-01   5.14575856e-02   2.57995678e-01
   3.36784023e-01   2.81299264e-01   9.36926266e-02   1.96564519e-01
   4.29361099e-01   4.47118955e-02   1.07135360e-01   4.23731340e-02
   1.55341524e-01   8.72392565e-02   3.34488210e-01   1.30197844e-01
   3.22984933e-01   2.09384753e-01   3.72647570e-01   4.70787734e-01
   6.95258229e-02   2.31225384e-01   8.53829352e-02   1.72394312e-01
   2.60993257e-01   8.82805588e-02   2.81233138e-01   2.31002543e-01
   2.22831765e-01   1.46940828e-01   1.94279848e-01   1.97675888e-01
   3.11785889e-04   6.22902232e-01   1.63863240e-01   2.48998092e-01
   1.47427407e-01   4.21164802e-01   8.98143015e-02   4.63600454e-01
   2.48340943e-01   9.18927199e-01   7.23479028e-01   2.19574252e+00
   1.48248821e+00   1.57703781e+00   7.31549907e-01   1.16465031e-02
   4.62252054e-02   5.04442815e-01   1.43310050e+00   1.00160942e+00
   4.69263337e-01   1.32773998e+00   1.21725245e+00   3.28613245e-01
   9.10010795e-02]
[  6.88536454e-01   2.10962689e-02   3.10327965e-02   5.49828633e-01
   1.00166687e-01   5.54139207e-04   2.96974253e-01   4.86311610e-01
   2.84850962e-01   9.32568153e-01   4.14011298e-01   1.70794739e-01
   7.23967201e-01   2.28513534e-01   6.94202699e-01   7.26541985e-01
   2.62135101e-02   1.58960281e-01   2.03465521e-01   1.12374058e-01
   6.85255913e-01   2.62910028e-01   6.63493695e-01   1.74372560e-01
   6.27894963e-01   5.71142606e-01   3.69589687e-01   1.21046449e+00
   2.12368380e-01   2.72597421e-01   6.12325364e-02   5.92677758e-01
   3.11873337e-01   7.19359457e-02   6.11412145e-02   2.00768818e-01
   3.97529377e-01   4.02562872e-02   8.40123259e-02   6.70966690e-02
   2.83460533e-01   4.76981690e-04   3.02180661e-01   7.76514072e-02
   4.93364905e-01   2.80131403e-01   1.11261619e+00   9.72972998e-01
   7.09502383e-02   3.48839739e-01   1.97334294e-01   5.92260188e-01
   1.45058211e-01   1.18552554e+00   1.47485100e+00   1.06065221e+00
   1.77409978e-01   6.70504355e-02   6.13106805e-01   4.14825078e-01
   1.93609417e-01   2.57425372e-01   1.40175880e-01   2.01316013e-01
   3.83785919e-01   2.52416729e-01   3.54792245e-02   2.48855004e-01
   2.22088033e-01   7.54563512e-01   3.64166132e-01   5.83313141e-01
   6.60418155e-01   1.85183476e-01   1.01353776e-01   1.56892668e-01
   1.87307757e-01   7.91146762e-01   4.14557577e-01   1.15075857e+00
   1.21654354e+00   1.42355771e+00   1.47485100e+00   3.47148353e-01
   8.45600610e-02   2.08397714e-01   7.65904112e-02   4.96035133e-01
   7.25515197e-02   2.98216334e-01   2.13008872e-01   1.20041416e+00
   5.41670142e-01   3.08871594e-01   1.74385826e-01   8.25935938e-02
   2.03720123e-01   6.51485498e-02   5.48088970e-01   5.02279434e-01
   5.43554649e-01   1.90867747e-01   1.95830536e-01   1.03489972e+00
   1.16119344e+00   2.11670489e+00   2.80985207e+00   3.03299562e+00
   3.32067769e+00   3.72614280e+00   2.16546047e-01   1.73519536e-01
   1.74615534e-02   5.15837761e-01   1.33890182e-01   5.38647524e-01
   5.69629746e-01   1.26660845e-01   1.25068066e-01   2.58200867e-01
   1.80867663e-01   8.74401322e-02   4.43618401e-01   1.61021227e-01
   8.60925737e-02   3.07293009e-01   1.14205168e-01   2.44302227e-02
   1.65665061e-01   5.74153210e-02   3.01267210e-01   7.34001614e-01
   2.29099324e-01   3.15312298e-01   9.32587151e-02   1.43144133e-02
   8.75450068e-02   3.58846970e-01   4.08544330e-02   2.15426893e-01
   4.58448640e-01   3.88315033e-01   2.83208549e-01   1.02498596e-01
   5.35530534e-01   2.81840318e-01   9.14333365e-01   4.69248908e-01
   7.05717914e-01   3.73543294e-01   3.94083011e-02   2.75111339e-01
   3.01438546e-01   4.16991926e-01   1.16795868e+00   8.35771043e-01
   2.08130814e-01   3.68201762e-01   4.37404379e-02   3.31422510e-01
   1.65677498e-01   5.77689440e-01   4.08544330e-02   5.48088970e-01
   8.92929456e-01   4.30305934e-01   4.85984797e-01   2.76155255e-01
   1.85880205e-01   6.69785905e-01   3.72633463e-02   9.22782420e-01
   8.92929456e-01   1.18341658e+00   2.29635239e-01   4.30305934e-01
   5.07266976e-01   1.32824753e+00   6.81620363e-01   1.50151925e+00
   8.92929456e-01   1.93438333e+00   3.81995084e-01   1.42355771e+00
   2.22206540e+00   1.78023265e+00   1.93438333e+00   2.33984844e+00
   2.62753051e+00   3.03299562e+00   3.72614280e+00   2.01862910e-01
   4.39608327e-01   5.40370947e-01   4.97766966e-01   2.49528779e-01
   1.35137202e+00   3.80424571e-01   3.21769926e-01   2.31490716e-01
   1.31071969e-01   3.55619426e-01   3.94519070e-01   8.13599580e-01
   1.22544995e+00   3.37772432e-01   4.52147676e-01   2.46613575e-01
   3.36453064e-01   1.31658651e-01   3.75862823e-03   2.94847388e-01
   4.57987066e-01   9.89987822e-02   1.35989435e-01   4.42071610e-01
   2.72891582e-01   1.65144775e+00   3.35494694e-01   2.46168636e-01
   2.54035195e-01   8.11825802e-02   5.71016885e-02   1.00849940e-01
   1.43900133e-01   3.48565787e-01   1.38089541e-01   7.13588528e-01
   1.09007251e-01   7.60010997e-01   3.42883954e-01   5.00020567e-01
   2.60987678e-01   1.78121919e+00   9.32568153e-01   2.05682832e-01
   3.13895583e-01   1.50253027e-01   7.04673998e-01   6.51467325e-01
   5.57443761e-01   4.04710387e-01   1.29309854e-01   1.18671455e-01
   1.71123978e+00   4.35329593e-02   8.78330657e-01   4.55907342e-01
   8.35771043e-01   3.50573153e-02   8.85566407e-02   8.63941919e-01
   1.39886509e+00   1.52891822e+00   1.34586911e-01   8.63941919e-01
   9.22782420e-01   1.58607664e+00   1.71123978e+00   1.78023265e+00
   1.93438333e+00   2.22206540e+00   2.33984844e+00   2.47337983e+00
   2.62753051e+00   2.80985207e+00   3.03299562e+00   3.32067769e+00
   3.32067769e+00   3.72614280e+00   3.72614280e+00   3.72614280e+00
   2.76330108e-01   7.86661207e-02   1.68861200e-01   1.13309512e-01
   4.09023756e-01   1.78991506e-01   4.55814856e-03   4.49373170e-04
   1.24729372e-01   4.98421285e-02   1.60291090e-01   1.63086429e-01
   7.02290207e-01   1.01801867e-01   9.91611746e-01   3.73472460e-01
   6.13758908e-01   3.45998828e-01   2.01744985e-01   4.86887813e-01
   4.30785248e-01   1.08807201e+00   1.19383813e+00   1.98796430e-01
   6.31988284e-02   6.00479357e-01   9.92497052e-01   2.14224678e-01
   3.03836456e-01   7.03032004e-02   8.05918079e-01   9.93399987e-01
   1.53588689e+00   1.55708910e+00   2.15060644e+00   3.03299562e+00
   5.74660536e-02   1.02399232e+00   3.41752537e-01   2.08391507e+00
   1.50151925e+00   1.58607664e+00   3.21531718e+00   2.91521258e+00
   3.32067769e+00   4.77708173e-01   1.36293309e+00   1.28379577e+00
   2.52217000e+00   3.50299925e+00   3.03299562e+00   3.32067769e+00
   3.72614280e+00   3.72614280e+00   8.27037363e-01   9.74607487e-01
   1.67844996e+00   2.33984844e+00   3.32067769e+00   3.72614280e+00
   3.72614280e+00   3.72614280e+00   5.11243716e+00   1.19542661e+00
   1.16119344e+00   1.71123978e+00   3.72614280e+00   4.41928998e+00
   3.72614280e+00   3.72614280e+00   6.26050512e-01   1.03489972e+00
   2.02139471e+00   1.93438333e+00   3.72614280e+00   3.72614280e+00
   5.11243716e+00   3.72614280e+00   3.72614280e+00   4.29979122e-01
   3.01414921e-01   9.27137046e-01   3.33437769e-01   1.98527167e-01
   2.15496808e-02   2.35714285e-01   6.73013983e-02   5.20309540e-01
   3.62402981e-01   3.53511046e-01   3.29258788e-01   7.82949943e-02
   3.45148126e-01   5.72841842e-01   5.54854205e-01   5.62030925e-01
   4.52083246e-01   2.22323023e-01   2.57517557e-01   4.64207486e-01
   8.71110409e-01   2.08391507e+00   2.11670489e+00   3.72614280e+00
   9.27120821e-01   1.55708910e+00   4.41928998e+00   2.39114173e+00
   3.32067769e+00   3.32067769e+00   4.41928998e+00   2.33984844e+00
   3.72614280e+00   3.72614280e+00   2.62753051e+00   4.41928998e+00
   2.55186753e-01   2.29052377e-01   2.59155553e-02   1.01195990e-01
   1.77992032e-01   4.85058443e-01   2.78155481e-01   4.20387515e-01
   1.09906166e+00   1.00643119e-01   4.68163113e-01   7.31260675e-02
   2.85514057e-02   1.62102468e-01   3.61512774e-01   5.58822121e-01
   1.83574466e-01   1.10510398e+00   4.29316460e-01   7.00951720e-02
   6.90980805e-01   3.88373446e-01   3.50833190e-01   3.12522899e-01
   2.17591598e-02   1.62270339e-01   1.52891822e+00   9.93805587e-02
   3.59484217e-02   3.43303069e-02   1.97949929e-01   2.60702208e-01
   2.49286740e-02   6.75793796e-02   4.64353338e-01   5.72275750e-01
   1.57915076e-01   2.89471031e-01   1.60096088e-01   1.69770529e+00
   6.46529043e-01   5.73859999e-01   8.49757284e-01   3.29120790e-01
   1.93438333e+00   3.39996737e-02   4.05324615e-01   6.62204094e-02
   8.73386506e-01   2.81190385e-01   4.13679568e-01   4.03932393e-02
   3.36550965e-01   3.55864823e-03   6.57549114e-01   2.10805079e-01
   3.90389677e-01   6.27293906e-01   2.87075145e-01   2.90259861e-01
   4.03600201e-01   6.08930629e-01   3.93938290e-01   5.67472877e-01
   1.55420998e-01   2.39699718e-01   1.74640808e-01   9.78098462e-02
   2.13176907e-01   9.94585726e-01   5.70663292e-01   8.87064337e-01
   2.22404980e-01   1.95309295e-01   1.84003445e-01   1.05140769e-01
   2.33876403e-01   2.10572818e-01   1.22623195e-01   2.91740596e-01
   9.85302776e-01   2.67702704e-01   8.00798814e-03   2.08370840e-02
   4.57419170e-01   4.27663925e-01   6.52632826e-01   6.18198536e-01
   9.29522522e-02   4.87464348e-01   3.44757509e-02   2.32273763e-01
   5.00690945e-01   3.48129868e-01   5.26312843e-01   3.09571677e-01
   3.08982402e-01   1.08490856e-01   1.61587512e-01   6.79803190e-02
   7.81751437e-02   1.00235060e+00   5.88006412e-01   2.42981481e-01
   2.29635239e-01   3.41752537e-01   9.85302776e-01   1.16119344e+00
   4.47791878e-01   1.18467216e+00   3.50263227e-01   6.46074974e-02
   3.58322088e-02   4.63685156e-01   4.98421285e-02   3.96372639e-01
   3.01880146e-01   4.01724454e-01   7.01693370e-01   2.59291449e-01
   1.14216059e+00   3.98299793e-01   3.22739388e-01   1.77511955e-01
   3.59833512e-01   4.40944333e-01   1.00972251e-02   6.82606904e-01
   6.53798328e-01   5.85827483e-02   5.97935588e-02   9.43130115e-02
   1.53127419e-01   5.23650455e-01   1.62757788e-01   7.69286027e-02
   6.48418766e-02   4.86725264e-01   4.64722854e-02   4.70085281e-03
   1.88086236e-01   1.90867747e-01   1.67738190e-01   9.04700202e-02
   4.71807830e-02   3.49223386e-02   2.44902711e-01   1.38627320e-01
   1.91544243e-01   5.90392478e-01   1.67531066e-01   3.50452580e-01
   3.57730462e-01   3.56596216e-01   6.40135477e-01   7.72176618e-02
   4.24897105e-01   9.70512647e-02   2.89645435e-02   7.04693535e-02
   1.27689638e-01   3.29120790e-01   3.58304460e-01   5.23881884e-01
   3.18150376e-01   4.89143499e-02   6.81620363e-01   9.40827786e-01
   7.56950082e-01   9.37649161e-02   8.66448603e-01   3.02180661e-01
   3.67999820e-02   1.79563229e-01   4.85760770e-01   1.87696736e-01
   1.98732407e-01   1.46263868e+00   6.55883834e-01   4.63511942e-01
   2.83912920e-01]
lambs, mean: 0.00238537208838, var:1.99753595996e-05
mean lambda: 0.00238537208838
(100, 569)
b is [[-0.03050002]
 [ 0.02475223]
 [-0.76327344]
 [ 0.18989629]
 [ 0.14053735]
 [ 0.38274463]
 [ 0.39008837]
 [-0.4052304 ]
 [ 0.24635759]
 [-0.58827239]
 [-0.3518887 ]
 [-0.2378666 ]
 [-0.19255705]
 [ 0.20737251]
 [ 0.02091464]
 [ 0.26299944]
 [-0.51763848]
 [-0.01842346]
 [-0.15930158]
 [ 0.06889681]
 [-0.5186613 ]
 [-0.20086676]
 [ 0.72688698]
 [-0.49722252]
 [-0.56599887]
 [ 0.33702618]
 [-0.14511123]
 [ 0.03357243]
 [-0.14633642]
 [ 0.00365414]
 [ 0.09045821]
 [-0.25109119]
 [ 0.02020741]
 [-0.24910661]
 [ 0.7211899 ]
 [-0.11711236]
 [-0.65343424]
 [ 0.1942041 ]
 [ 0.34007287]
 [-0.22397402]
 [-0.42100308]
 [-0.23707288]
 [ 0.00562991]
 [ 0.49009339]
 [ 0.45600788]
 [ 0.53551218]
 [-0.54767035]
 [-0.04761455]
 [ 0.27479588]
 [ 0.18283123]
 [ 0.05214981]
 [-0.2414308 ]
 [ 0.34294772]
 [-0.7749909 ]
 [ 0.08019562]
 [ 0.39924692]
 [ 0.23364514]
 [ 0.06700075]
 [-0.11332899]
 [-0.22882698]
 [ 0.06487381]
 [-0.58361157]
 [-0.42165028]
 [-0.13259465]
 [-0.24526892]
 [-0.27996225]
 [-0.48849515]
 [-0.1156896 ]
 [ 0.41604539]
 [-0.02592586]
 [-0.16002233]
 [ 0.41526572]
 [-0.25432047]
 [-0.24706327]
 [ 0.29596625]
 [ 0.08646227]
 [ 0.46119411]
 [-0.03067276]
 [-0.15269406]
 [ 0.7713354 ]
 [ 0.45387368]
 [ 0.03810485]
 [ 0.40309046]
 [-0.10938452]
 [-0.30285291]
 [ 0.35629798]
 [ 0.04340887]
 [ 0.31426261]
 [ 0.10631501]
 [-0.08466946]
 [ 0.80928466]
 [ 0.47056818]
 [ 0.29789947]
 [ 0.20900921]
 [-0.50234362]
 [-0.34583446]
 [-0.59894895]
 [ 0.46524975]
 [ 0.41454103]
 [ 0.11287404]]
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=  4.60717D+00    |proj g|=  4.11320D-03

At iterate   10    f=  3.21510D+00    |proj g|=  2.15699D-03

At iterate   20    f=  3.15037D+00    |proj g|=  6.21874D-04

At iterate   30    f=  3.14331D+00    |proj g|=  5.18516D-04

At iterate   40    f=  3.14222D+00    |proj g|=  1.54759D-04

At iterate   50    f=  3.14200D+00    |proj g|=  5.57485D-05

At iterate   60    f=  3.14194D+00    |proj g|=  2.79228D-05

At iterate   70    f=  3.14193D+00    |proj g|=  9.44072D-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
57000   70   72      1     0     0   9.441D-06   3.142D+00
  F =   3.1419262009995963     

CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL            

 Cauchy                time 0.000E+00 seconds.
 Subspace minimization time 1.997E+00 seconds.
 Line search           time 2.217E+02 seconds.

 Total User time 2.273E+02 seconds.

=== END program1: ./run learn ../dataset2/train --- OK [2838s]

===== 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 [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	47m49.283s
user	21m50.922s
sys	25m6.126s

Run specification Arrow_right
Results Arrow_right


Comments:


Must be logged in to post comments.