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Manish Kumar manish7294

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manish7294 / balance_scale_simulation.csv
Last active July 14, 2018 14:23
Evaluate(): 0 pruned of 12013 transformation diff 0. Active: 10733 close 1150 inactive 130.
Evaluate(): 0 pruned of 10427 transformation diff 0.918681. Active: 8984 close 868 inactive 575.
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Evaluate(): 1287 pruned of 10427 transformation diff 0.00165439. Active: 8984 close 1035 in
@manish7294
manish7294 / covertype-5k_simulations.txt
Last active July 13, 2018 13:08
$ bin/mlpack_lmnn -i covertype-5k.csv -l covertype-5k.labels.csv -o output.csv -P -O lbfgs -v | grep -v 'node combinations\|base cases\|DEBUG' 2>&1
...
Evaluate(): 0 pruned of 5000, transformation diff 0.00879516. Active: 2989, close 1944, inactive 67.
Evaluate(): 0 pruned of 5000, transformation diff 0.00713265. Active: 2886, close 2027, inactive 87.
Evaluate(): 0 pruned of 5000, transformation diff 0.00356632. Active: 2941, close 1983, inactive 76.
Evaluate(): 0 pruned of 5000, transformation diff 0.00178316. Active: 2968, close 1961, inactive 71.
Evaluate(): 0 pruned of 5000, transformation diff 0.000891581. Active: 2977, close 1955, inactive 68.
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Evaluate(): 67 pruned of 5000, transformation diff 0.000222895. Active: 2983, close 1956, inactive 61.
Evaluate(): 424 pruned of 5000, transformation diff 0.000111448. Active: 2987, close 1971, inactive 42.
@manish7294
manish7294 / distance_correctness.txt
Last active July 14, 2018 08:58
Check for correctness
LBFGS -
IRIS - WITH CHANGES
1.6498 0.0695 -0.0498 -0.2692
0.0888 1.2758 -0.2269 -0.0435
-0.1993 -0.4028 2.0772 1.0803
-0.3799 -0.1621 0.9357 1.9584
IRIS - WITHOUT CHANGES
1.6498 0.0695 -0.0498 -0.2692
0.0888 1.2758 -0.2269 -0.0435
@manish7294
manish7294 / covertype-5k_simulation.txt
Created July 11, 2018 14:39
Impostor Bounds Simulations
$ 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