Created
July 11, 2018 14:39
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Impostor Bounds Simulations
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$ bin/mlpack_lmnn -i covertype-5k.csv -l covertype-5k.labels.csv -k 5 -o output.csv -P true -O lbfgs -v -n 50| grep -v 'node combinations\|base cases' | |
[DEBUG] Compiled with debugging symbols. | |
[INFO ] Loading 'covertype-5k.csv' as CSV data. Size is 54 x 5000. | |
[INFO ] Loading 'covertype-5k.labels.csv' as raw ASCII formatted data. Size is 5000 x 1. | |
[INFO ] Initial learning point have invalid dimensionality. Identity matrix will be used as initial learning point for optimization. | |
Iteration - 0 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0 | |
[DEBUG] L-BFGS iteration 0; objective 3.09637e+06, gradient norm 8.1396e+08, 0. | |
Iteration - 1 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.697094 | |
[DEBUG] L-BFGS iteration 1; objective 1.93411e+06, gradient norm 3.23659e+08, 0.375363. | |
Iteration - 2 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.47624 | |
[DEBUG] L-BFGS iteration 2; objective 1.306e+06, gradient norm 2.25493e+08, 0.324751. | |
Iteration - 3 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.411651 | |
[DEBUG] L-BFGS iteration 3; objective 1.1691e+06, gradient norm 2.99546e+08, 0.104824. | |
Iteration - 4 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.425348 | |
Iteration - 5 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.212674 | |
[DEBUG] L-BFGS iteration 4; objective 980278, gradient norm 1.98417e+08, 0.161513. | |
Iteration - 6 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.076317 | |
[DEBUG] L-BFGS iteration 5; objective 886474, gradient norm 1.2214e+08, 0.0956916. | |
Iteration - 7 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.152408 | |
[DEBUG] L-BFGS iteration 6; objective 790235, gradient norm 6.51051e+07, 0.108564. | |
Iteration - 8 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.140987 | |
[DEBUG] L-BFGS iteration 7; objective 657977, gradient norm 8.25228e+07, 0.167365. | |
Iteration - 9 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.201268 | |
[DEBUG] L-BFGS iteration 8; objective 511261, gradient norm 7.35727e+07, 0.22298. | |
Iteration - 10 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.132912 | |
[DEBUG] L-BFGS iteration 9; objective 418332, gradient norm 7.47346e+07, 0.181766. | |
Iteration - 11 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.263801 | |
Iteration - 12 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.1319 | |
[DEBUG] L-BFGS iteration 10; objective 372288, gradient norm 1.00396e+08, 0.110066. | |
Iteration - 13 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.043245 | |
[DEBUG] L-BFGS iteration 11; objective 308663, gradient norm 4.18334e+07, 0.170901. | |
Iteration - 14 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0546897 | |
[DEBUG] L-BFGS iteration 12; objective 270022, gradient norm 2.4347e+07, 0.125189. | |
Iteration - 15 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0952191 | |
[DEBUG] L-BFGS iteration 13; objective 234873, gradient norm 1.56353e+07, 0.130172. | |
Iteration - 16 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.118201 | |
[DEBUG] L-BFGS iteration 14; objective 230599, gradient norm 3.20919e+07, 0.0181971. | |
Iteration - 17 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0458051 | |
[DEBUG] L-BFGS iteration 15; objective 202926, gradient norm 2.03654e+07, 0.120002. | |
Iteration - 18 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.021505 | |
[DEBUG] L-BFGS iteration 16; objective 188434, gradient norm 1.44657e+07, 0.071418. | |
Iteration - 19 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0405141 | |
[DEBUG] L-BFGS iteration 17; objective 174427, gradient norm 1.40686e+07, 0.0743308. | |
Iteration - 20 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0571309 | |
[DEBUG] L-BFGS iteration 18; objective 160007, gradient norm 1.29594e+07, 0.0826732. | |
Iteration - 21 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0776934 | |
[DEBUG] L-BFGS iteration 19; objective 151223, gradient norm 1.44931e+07, 0.0548976. | |
Iteration - 22 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0154389 | |
Iteration - 23 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.00771943 | |
[DEBUG] L-BFGS iteration 20; objective 148545, gradient norm 5.62981e+06, 0.0177054. | |
Iteration - 24 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.00857175 | |
[DEBUG] L-BFGS iteration 21; objective 147755, gradient norm 3.25521e+06, 0.00532338. | |
Iteration - 25 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0142983 | |
[DEBUG] L-BFGS iteration 22; objective 147588, gradient norm 3.52359e+06, 0.00112669. | |
Iteration - 26 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0447965 | |
[DEBUG] L-BFGS iteration 23; objective 145956, gradient norm 4.01999e+06, 0.0110563. | |
Iteration - 27 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0273302 | |
[DEBUG] L-BFGS iteration 24; objective 143524, gradient norm 4.39309e+06, 0.0166672. | |
Iteration - 28 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0287402 | |
[DEBUG] L-BFGS iteration 25; objective 138986, gradient norm 6.07197e+06, 0.0316174. | |
Iteration - 29 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0351457 | |
[DEBUG] L-BFGS iteration 26; objective 136817, gradient norm 6.08389e+06, 0.0156062. | |
Iteration - 30 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0404275 | |
[DEBUG] L-BFGS iteration 27; objective 133716, gradient norm 1.30653e+07, 0.022663. | |
Iteration - 31 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.00717834 | |
[DEBUG] L-BFGS iteration 28; objective 131719, gradient norm 4.86899e+06, 0.014939. | |
Iteration - 32 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0223392 | |
[DEBUG] L-BFGS iteration 29; objective 128997, gradient norm 5.6549e+06, 0.0206591. | |
Iteration - 33 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0487968 | |
[DEBUG] L-BFGS iteration 30; objective 125347, gradient norm 7.56099e+06, 0.0283003. | |
Iteration - 34 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0887029 | |
[DEBUG] L-BFGS iteration 31; objective 116774, gradient norm 8.66661e+06, 0.0683939. | |
Iteration - 35 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0815075 | |
[DEBUG] L-BFGS iteration 32; objective 109272, gradient norm 7.91705e+06, 0.0642457. | |
Iteration - 36 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.042956 | |
[DEBUG] L-BFGS iteration 33; objective 100809, gradient norm 5.41249e+06, 0.077444. | |
Iteration - 37 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.114598 | |
Iteration - 38 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0572992 | |
[DEBUG] L-BFGS iteration 34; objective 95160.2, gradient norm 8.7839e+06, 0.0560359. | |
Iteration - 39 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0374193 | |
[DEBUG] L-BFGS iteration 35; objective 90445.2, gradient norm 6.12573e+06, 0.0495484. | |
Iteration - 40 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.123203 | |
[DEBUG] L-BFGS iteration 36; objective 82601.8, gradient norm 9.68747e+06, 0.0867198. | |
Iteration - 41 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0946966 | |
[DEBUG] L-BFGS iteration 37; objective 75479.2, gradient norm 5.39667e+06, 0.0862273. | |
Iteration - 42 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0214351 | |
[DEBUG] L-BFGS iteration 38; objective 71990.4, gradient norm 3.96723e+06, 0.0462222. | |
Iteration - 43 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0455925 | |
[DEBUG] L-BFGS iteration 39; objective 69383.8, gradient norm 2.73121e+06, 0.0362078. | |
Iteration - 44 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0525331 | |
[DEBUG] L-BFGS iteration 40; objective 67184.9, gradient norm 2.77132e+06, 0.0316925. | |
Iteration - 45 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0507428 | |
[DEBUG] L-BFGS iteration 41; objective 65692.9, gradient norm 4.07772e+06, 0.0222071. | |
Iteration - 46 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0152443 | |
[DEBUG] L-BFGS iteration 42; objective 64147.4, gradient norm 1.75056e+06, 0.0235262. | |
Iteration - 47 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.020738 | |
[DEBUG] L-BFGS iteration 43; objective 63397.3, gradient norm 1.55823e+06, 0.0116925. | |
Iteration - 48 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0207637 | |
[DEBUG] L-BFGS iteration 44; objective 63066.1, gradient norm 2.6188e+06, 0.0052255. | |
Iteration - 49 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.00210609 | |
[DEBUG] L-BFGS iteration 45; objective 62607.5, gradient norm 1.02169e+06, 0.00727103. | |
Iteration - 50 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.00437198 | |
[DEBUG] L-BFGS iteration 46; objective 62269.1, gradient norm 1.15495e+06, 0.005405. | |
Iteration - 51 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.00401681 | |
[DEBUG] L-BFGS iteration 47; objective 61866.4, gradient norm 1.16903e+06, 0.00646776. | |
Iteration - 52 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.0155961 | |
[DEBUG] L-BFGS iteration 48; objective 61582.7, gradient norm 2.35527e+06, 0.00458576. | |
Iteration - 53 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.00862342 | |
[DEBUG] L-BFGS iteration 49; objective 61207.9, gradient norm 1.4856e+06, 0.00608594. | |
Iteration - 54 : Out of 5000, Impostors were recalculated for 5000 points. transformationDiff : 0.00892191 | |
[INFO ] Accuracy on initial dataset: 86.74% | |
[INFO ] Accuracy on transformed dataset: 88.14% | |
[INFO ] Saving CSV data to 'output.csv'. | |
[INFO ] | |
[INFO ] Execution parameters: | |
[INFO ] batch_size: 50 | |
[INFO ] distance_file: | |
[INFO ] help: 0 | |
[INFO ] info: | |
[INFO ] input_file: covertype-5k.csv | |
[INFO ] k: 5 | |
[INFO ] labels_file: covertype-5k.labels.csv | |
[INFO ] linear_scan: 0 | |
[INFO ] max_iterations: 50 | |
[INFO ] normalize: 0 | |
[INFO ] optimizer: lbfgs | |
[INFO ] output_file: output.csv | |
[INFO ] passes: 50 | |
[INFO ] print_accuracy: 1 | |
[INFO ] range: 1 | |
[INFO ] rank: 0 | |
[INFO ] regularization: 0.5 | |
[INFO ] seed: 0 | |
[INFO ] step_size: 0.01 | |
[INFO ] tolerance: 1e-07 | |
[INFO ] transformed_data_file: | |
[INFO ] verbose: 1 | |
[INFO ] version: 0 | |
[INFO ] Program timers: | |
[INFO ] computing_neighbors: 244.109149s (4 mins, 4.1 secs) | |
[INFO ] line_search: 401.660048s (6 mins, 41.6 secs) | |
[INFO ] lmnn_function_compute_impostors: 260.587437s (4 mins, 20.5 secs) | |
[INFO ] lmnn_optimization: 405.991062s (6 mins, 45.9 secs) | |
[INFO ] loading_data: 0.082364s | |
[INFO ] saving_data: 0.003465s | |
[INFO ] total_time: 415.228501s (6 mins, 55.2 secs) | |
[INFO ] tree_building: 2.591929s |
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$ bin/mlpack_lmnn -i iris.csv -l iris_labels.txt -k 5 -o output.csv -P true -O lbfgs -v -A 4| grep -v 'node combinations\|base cases' | |
[DEBUG] Compiled with debugging symbols. | |
[INFO ] Loading 'iris.csv' as CSV data. Size is 4 x 150. | |
[INFO ] Loading 'iris_labels.txt' as raw ASCII formatted data. Size is 150 x 1. | |
Iteration - 0 : Out of 150, Impostors were recalculated for 150 points. transformationDiff : 0 | |
[DEBUG] L-BFGS iteration 0; objective 879.389, gradient norm 919.64, 0. | |
Iteration - 1 : Out of 150, Impostors were recalculated for 150 points. transformationDiff : 0.988833 | |
[DEBUG] L-BFGS iteration 1; objective 611.852, gradient norm 405.707, 0.304231. | |
Iteration - 2 : Out of 150, Impostors were recalculated for 150 points. transformationDiff : 0.899811 | |
[DEBUG] L-BFGS iteration 2; objective 492.278, gradient norm 236.235, 0.195429. | |
Iteration - 3 : Out of 150, Impostors were recalculated for 150 points. transformationDiff : 1.42929 | |
Iteration - 4 : Out of 150, Impostors were recalculated for 150 points. transformationDiff : 0.714647 | |
[DEBUG] L-BFGS iteration 3; objective 477.899, gradient norm 80.2165, 0.0292104. | |
Iteration - 5 : Out of 150, Impostors were recalculated for 150 points. transformationDiff : 0.41961 | |
Iteration - 6 : Out of 150, Impostors were recalculated for 150 points. transformationDiff : 0.209805 | |
Iteration - 7 : Out of 150, Impostors were recalculated for 150 points. transformationDiff : 0.104903 | |
Iteration - 8 : Out of 150, Impostors were recalculated for 149 points. transformationDiff : 0.0524513 | |
Iteration - 9 : Out of 150, Impostors were recalculated for 124 points. transformationDiff : 0.0262256 | |
Iteration - 10 : Out of 150, Impostors were recalculated for 87 points. transformationDiff : 0.0131128 | |
Iteration - 11 : Out of 150, Impostors were recalculated for 63 points. transformationDiff : 0.00655641 | |
Iteration - 12 : Out of 150, Impostors were recalculated for 38 points. transformationDiff : 0.0032782 | |
Iteration - 13 : Out of 150, Impostors were recalculated for 20 points. transformationDiff : 0.0016391 | |
Iteration - 14 : Out of 150, Impostors were recalculated for 11 points. transformationDiff : 0.000819551 | |
Iteration - 15 : Out of 150, Impostors were recalculated for 6 points. transformationDiff : 0.000409775 | |
Iteration - 16 : Out of 150, Impostors were recalculated for 3 points. transformationDiff : 0.000204888 | |
Iteration - 17 : Out of 150, Impostors were recalculated for 1 points. transformationDiff : 0.000102444 | |
Iteration - 18 : Out of 150, Impostors were recalculated for 1 points. transformationDiff : 5.12219e-05 | |
Iteration - 19 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 2.5611e-05 | |
Iteration - 20 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.28055e-05 | |
Iteration - 21 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 6.40274e-06 | |
Iteration - 22 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 3.20137e-06 | |
Iteration - 23 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.60069e-06 | |
Iteration - 24 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 8.00343e-07 | |
Iteration - 25 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 4.00171e-07 | |
Iteration - 26 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 2.00086e-07 | |
Iteration - 27 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.00043e-07 | |
Iteration - 28 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 5.00214e-08 | |
Iteration - 29 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 2.50107e-08 | |
Iteration - 30 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.25054e-08 | |
Iteration - 31 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 6.25268e-09 | |
Iteration - 32 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 3.12634e-09 | |
Iteration - 33 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.56317e-09 | |
Iteration - 34 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 7.81585e-10 | |
Iteration - 35 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 3.90792e-10 | |
Iteration - 36 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.95396e-10 | |
Iteration - 37 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 9.7698e-11 | |
Iteration - 38 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 4.88491e-11 | |
Iteration - 39 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 2.44245e-11 | |
Iteration - 40 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.22122e-11 | |
Iteration - 41 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 6.10622e-12 | |
Iteration - 42 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 3.05302e-12 | |
Iteration - 43 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.52655e-12 | |
Iteration - 44 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 7.63206e-13 | |
Iteration - 45 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 3.8168e-13 | |
Iteration - 46 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 1.90821e-13 | |
Iteration - 47 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 9.5344e-14 | |
Iteration - 48 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 4.77169e-14 | |
Iteration - 49 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 5.24146e-14 | |
Iteration - 50 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 5.00175e-14 | |
Iteration - 51 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 5.51271e-14 | |
Iteration - 52 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 5.2646e-14 | |
Iteration - 53 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 5.78043e-14 | |
Iteration - 54 : Out of 150, Impostors were recalculated for 0 points. transformationDiff : 5.51891e-14 | |
[DEBUG] L-BFGS function value stable (terminating successfully). | |
[INFO ] Accuracy on initial dataset: 96.6667% | |
[INFO ] Accuracy on transformed dataset: 96.6667% | |
[INFO ] Saving CSV data to 'output.csv'. | |
[INFO ] | |
[INFO ] Execution parameters: | |
[INFO ] batch_size: 50 | |
[INFO ] distance_file: | |
[INFO ] help: 0 | |
[INFO ] info: | |
[INFO ] input_file: iris.csv | |
[INFO ] k: 5 | |
[INFO ] labels_file: iris_labels.txt | |
[INFO ] linear_scan: 0 | |
[INFO ] max_iterations: 100000 | |
[INFO ] normalize: 0 | |
[INFO ] optimizer: lbfgs | |
[INFO ] output_file: output.csv | |
[INFO ] passes: 50 | |
[INFO ] print_accuracy: 1 | |
[INFO ] range: 1 | |
[INFO ] rank: 4 | |
[INFO ] regularization: 0.5 | |
[INFO ] seed: 0 | |
[INFO ] step_size: 0.01 | |
[INFO ] tolerance: 1e-07 | |
[INFO ] transformed_data_file: | |
[INFO ] verbose: 1 | |
[INFO ] version: 0 | |
[INFO ] Program timers: | |
[INFO ] computing_neighbors: 0.162287s | |
[INFO ] line_search: 0.424232s | |
[INFO ] lmnn_function_compute_impostors: 0.184121s | |
[INFO ] lmnn_optimization: 0.444343s | |
[INFO ] loading_data: 0.000586s | |
[INFO ] saving_data: 0.000146s | |
[INFO ] total_time: 0.497246s | |
[INFO ] tree_building: 0.005237s |
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$ bin/mlpack_lmnn -i vc2.csv -l vc2_labels.txt -k 5 -o output.csv -P true -O lbfgs -v -A 6| grep -v 'node combinations\|base cases' | |
[DEBUG] Compiled with debugging symbols. | |
[INFO ] Loading 'vc2.csv' as CSV data. Size is 6 x 207. | |
[INFO ] Loading 'vc2_labels.txt' as raw ASCII formatted data. Size is 207 x 1. | |
Iteration - 0 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0 | |
[DEBUG] L-BFGS iteration 0; objective 27026.5, gradient norm 1.26898e+06, 0. | |
Iteration - 1 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.993055 | |
[DEBUG] L-BFGS iteration 1; objective 18657.3, gradient norm 692667, 0.309667. | |
Iteration - 2 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 1.48981 | |
[DEBUG] L-BFGS iteration 2; objective 9337.29, gradient norm 295584, 0.499536. | |
Iteration - 3 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.451885 | |
[DEBUG] L-BFGS iteration 3; objective 8890.35, gradient norm 455710, 0.0478664. | |
Iteration - 4 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.279036 | |
[DEBUG] L-BFGS iteration 4; objective 6429.24, gradient norm 92499.4, 0.276829. | |
Iteration - 5 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.205974 | |
[DEBUG] L-BFGS iteration 5; objective 5012.41, gradient norm 99575.8, 0.220374. | |
Iteration - 6 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.215435 | |
[DEBUG] L-BFGS iteration 6; objective 3579.4, gradient norm 108749, 0.285892. | |
Iteration - 7 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.249883 | |
[DEBUG] L-BFGS iteration 7; objective 3178.4, gradient norm 47882.8, 0.112029. | |
Iteration - 8 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.16244 | |
[DEBUG] L-BFGS iteration 8; objective 2426.99, gradient norm 66439.5, 0.236411. | |
Iteration - 9 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.065376 | |
[DEBUG] L-BFGS iteration 9; objective 2423.52, gradient norm 20009.4, 0.00143015. | |
Iteration - 10 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.0424204 | |
[DEBUG] L-BFGS iteration 10; objective 2134.2, gradient norm 10587, 0.11938. | |
Iteration - 11 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.018408 | |
[DEBUG] L-BFGS iteration 11; objective 2077.13, gradient norm 4320.53, 0.0267423. | |
Iteration - 12 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.0113672 | |
[DEBUG] L-BFGS iteration 12; objective 2067.79, gradient norm 2666.19, 0.00449441. | |
Iteration - 13 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.00387424 | |
[DEBUG] L-BFGS iteration 13; objective 2059.81, gradient norm 1222.8, 0.00385859. | |
Iteration - 14 : Out of 207, Impostors were recalculated for 207 points. transformationDiff : 0.00270572 | |
[DEBUG] L-BFGS iteration 14; objective 2057.9, gradient norm 1069.04, 0.000930571. | |
Iteration - 15 : Out of 207, Impostors were recalculated for 203 points. transformationDiff : 0.00150598 | |
[DEBUG] L-BFGS iteration 15; objective 2056.14, gradient norm 522.663, 0.000856543. | |
Iteration - 16 : Out of 207, Impostors were recalculated for 188 points. transformationDiff : 0.00092451 | |
Iteration - 17 : Out of 207, Impostors were recalculated for 137 points. transformationDiff : 0.000462255 | |
Iteration - 18 : Out of 207, Impostors were recalculated for 99 points. transformationDiff : 0.000231128 | |
Iteration - 19 : Out of 207, Impostors were recalculated for 56 points. transformationDiff : 0.000115564 | |
Iteration - 20 : Out of 207, Impostors were recalculated for 39 points. transformationDiff : 5.77819e-05 | |
Iteration - 21 : Out of 207, Impostors were recalculated for 25 points. transformationDiff : 2.88909e-05 | |
Iteration - 22 : Out of 207, Impostors were recalculated for 11 points. transformationDiff : 1.44455e-05 | |
Iteration - 23 : Out of 207, Impostors were recalculated for 4 points. transformationDiff : 7.22274e-06 | |
Iteration - 24 : Out of 207, Impostors were recalculated for 3 points. transformationDiff : 3.61137e-06 | |
Iteration - 25 : Out of 207, Impostors were recalculated for 1 points. transformationDiff : 1.80568e-06 | |
Iteration - 26 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 9.02842e-07 | |
Iteration - 27 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 4.51421e-07 | |
Iteration - 28 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 2.25711e-07 | |
Iteration - 29 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.12855e-07 | |
Iteration - 30 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 5.64276e-08 | |
Iteration - 31 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 2.82138e-08 | |
Iteration - 32 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.41069e-08 | |
Iteration - 33 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 7.05345e-09 | |
Iteration - 34 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 3.52673e-09 | |
Iteration - 35 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.76336e-09 | |
Iteration - 36 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 8.81682e-10 | |
Iteration - 37 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 4.40841e-10 | |
Iteration - 38 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 2.2042e-10 | |
Iteration - 39 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.1021e-10 | |
Iteration - 40 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 5.51051e-11 | |
Iteration - 41 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 2.75526e-11 | |
Iteration - 42 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.37763e-11 | |
Iteration - 43 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 6.88815e-12 | |
Iteration - 44 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 3.44408e-12 | |
Iteration - 45 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.72202e-12 | |
Iteration - 46 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 8.61039e-13 | |
Iteration - 47 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 4.3049e-13 | |
Iteration - 48 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 2.15262e-13 | |
Iteration - 49 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.07612e-13 | |
Iteration - 50 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 5.38278e-14 | |
Iteration - 51 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 2.68993e-14 | |
Iteration - 52 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.34646e-14 | |
Iteration - 53 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 6.71839e-15 | |
Iteration - 54 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 3.37071e-15 | |
Iteration - 55 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.68596e-15 | |
Iteration - 56 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 8.43137e-16 | |
Iteration - 57 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 4.06293e-16 | |
Iteration - 58 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 2.07942e-16 | |
Iteration - 59 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 1.34212e-16 | |
Iteration - 60 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 4.83798e-17 | |
Iteration - 61 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 7.13385e-17 | |
Iteration - 62 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 7.12258e-17 | |
Iteration - 63 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 7.35538e-17 | |
Iteration - 64 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 7.17142e-17 | |
Iteration - 65 : Out of 207, Impostors were recalculated for 0 points. transformationDiff : 7.45817e-17 | |
[DEBUG] L-BFGS function value stable (terminating successfully). | |
[INFO ] Accuracy on initial dataset: 77.7778% | |
[INFO ] Accuracy on transformed dataset: 78.744% | |
[INFO ] Saving CSV data to 'output.csv'. | |
[INFO ] | |
[INFO ] Execution parameters: | |
[INFO ] batch_size: 50 | |
[INFO ] distance_file: | |
[INFO ] help: 0 | |
[INFO ] info: | |
[INFO ] input_file: vc2.csv | |
[INFO ] k: 5 | |
[INFO ] labels_file: vc2_labels.txt | |
[INFO ] linear_scan: 0 | |
[INFO ] max_iterations: 100000 | |
[INFO ] normalize: 0 | |
[INFO ] optimizer: lbfgs | |
[INFO ] output_file: output.csv | |
[INFO ] passes: 50 | |
[INFO ] print_accuracy: 1 | |
[INFO ] range: 1 | |
[INFO ] rank: 6 | |
[INFO ] regularization: 0.5 | |
[INFO ] seed: 0 | |
[INFO ] step_size: 0.01 | |
[INFO ] tolerance: 1e-07 | |
[INFO ] transformed_data_file: | |
[INFO ] verbose: 1 | |
[INFO ] version: 0 | |
[INFO ] Program timers: | |
[INFO ] computing_neighbors: 0.681866s | |
[INFO ] line_search: 1.848978s | |
[INFO ] lmnn_function_compute_impostors: 0.702938s | |
[INFO ] lmnn_optimization: 1.887925s | |
[INFO ] loading_data: 0.001036s | |
[INFO ] saving_data: 0.000162s | |
[INFO ] total_time: 2.003206s | |
[INFO ] tree_building: 0.011074s |
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