covertype-full.txt

bin/mlpack_lmnn -i covertype.txt -p 50 -b 65536 -P -k 3 -O amsgrad -v | grep -v 'node combinations\|base cases\|DEBUG'
[WARN ] Should pass '--output_file (-o)'; no output will be saved!
[INFO ] Loading 'covertype.txt' as CSV data.  Size is 55 x 581012.
[INFO ] Using last column of input dataset as labels.
[INFO ] Initial learning point have invalid dimensionality.  Identity matrix will be used as initial learning point for optimization.
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[INFO ] SGD: iteration 581012, objective 3.36634e+07.
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[INFO ] SGD: iteration 1162024, objective 2.99381e+07.
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[INFO ] SGD: iteration 1743036, objective 2.65874e+07.
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[INFO ] SGD: iteration 2324048, objective 2.35196e+07.
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[INFO ] SGD: iteration 2905060, objective 2.07646e+07.
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[INFO ] SGD: iteration 3486072, objective 1.8276e+07.
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[INFO ] SGD: iteration 4067084, objective 1.60133e+07.
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[INFO ] SGD: iteration 4648096, objective 1.3957e+07.
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[INFO ] SGD: iteration 5229108, objective 1.20911e+07.
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[INFO ] SGD: iteration 5810120, objective 1.04048e+07.
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[INFO ] SGD: iteration 6391132, objective 8.89046e+06.
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[INFO ] SGD: iteration 6972144, objective 7.54449e+06.
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[INFO ] SGD: iteration 7553156, objective 6.36032e+06.
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[INFO ] SGD: iteration 8134168, objective 5.33348e+06.
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[INFO ] SGD: iteration 8715180, objective 4.45544e+06.
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[INFO ] SGD: iteration 9296192, objective 3.71799e+06.
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[INFO ] SGD: iteration 9877204, objective 3.10934e+06.
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[INFO ] SGD: iteration 10458216, objective 2.61813e+06.
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[INFO ] SGD: iteration 11039228, objective 2.23358e+06.
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[INFO ] SGD: iteration 11620240, objective 1.94286e+06.
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[INFO ] SGD: iteration 12201252, objective 1.73485e+06.
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[INFO ] SGD: iteration 12782264, objective 1.59134e+06.
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[INFO ] SGD: iteration 13363276, objective 1.49953e+06.
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[INFO ] SGD: iteration 13944288, objective 1.43789e+06.
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[INFO ] SGD: iteration 14525300, objective 1.40282e+06.
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[INFO ] SGD: iteration 15106312, objective 1.38266e+06.
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[INFO ] SGD: iteration 15687324, objective 1.36029e+06.
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[INFO ] SGD: iteration 16268336, objective 1.34127e+06.
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[INFO ] SGD: iteration 16849348, objective 1.32379e+06.
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[INFO ] SGD: iteration 17430360, objective 1.30543e+06.
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[INFO ] SGD: iteration 18011372, objective 1.29292e+06.
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[INFO ] SGD: iteration 18592384, objective 1.27713e+06.
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[INFO ] SGD: iteration 19173396, objective 1.26483e+06.
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[INFO ] SGD: iteration 19754408, objective 1.25232e+06.
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[INFO ] SGD: iteration 20335420, objective 1.23813e+06.
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[INFO ] SGD: iteration 20916432, objective 1.2254e+06.
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[INFO ] SGD: iteration 21497444, objective 1.21297e+06.
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[INFO ] SGD: iteration 22078456, objective 1.2005e+06.
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[INFO ] SGD: iteration 22659468, objective 1.18867e+06.
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[INFO ] SGD: iteration 23240480, objective 1.17714e+06.
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[INFO ] SGD: iteration 23821492, objective 1.16869e+06.
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[INFO ] SGD: iteration 24402504, objective 1.1613e+06.
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[INFO ] SGD: iteration 24983516, objective 1.15229e+06.
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[INFO ] SGD: iteration 25564528, objective 1.14271e+06.
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[INFO ] SGD: iteration 26145540, objective 1.13509e+06.
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[INFO ] SGD: iteration 26726552, objective 1.12501e+06.
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[INFO ] SGD: iteration 27307564, objective 1.11542e+06.
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[INFO ] SGD: iteration 27888576, objective 1.10547e+06.
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[INFO ] SGD: iteration 28469588, objective 1.10185e+06.
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[INFO ] SGD: maximum iterations (29050600) reached; terminating optimization.
[INFO ] Accuracy on initial dataset: 97.3221%
[INFO ] Accuracy on transformed dataset: 97.6445%
[INFO ]
[INFO ] Execution parameters:
[INFO ]   batch_size: 65536
[INFO ]   distance_file:
[INFO ]   help: 0
[INFO ]   info:
[INFO ]   input_file: covertype.txt
[INFO ]   k: 3
[INFO ]   labels_file:
[INFO ]   linear_scan: 0
[INFO ]   max_iterations: 100000
[INFO ]   normalize: 0
[INFO ]   optimizer: amsgrad
[INFO ]   output_file:
[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: 7706.424708s (2 hrs, 8 mins, 26.4 secs)
[INFO ]   lmnn_optimization: 23718.976890s (6 hrs, 35 mins, 18.9 secs)
[INFO ]   loading_data: 11.547732s
[INFO ]   total_time: 23879.259520s (6 hrs, 37 mins, 59.2 secs)
[INFO ]   tree_building: 189.126290s (3 mins, 9.1 secs)

iris.txt

bin/mlpack_lmnn -i iris.csv -l iris_labels.txt -p 50 -b 50 -P -k 3 -O amsgrad -v | grep -v 'node combinations\|base cases\|DEBUG'
[WARN ] Should pass '--output_file (-o)'; no output will be saved!
[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.
[INFO ] Initial learning point have invalid dimensionality.  Identity matrix will be used as initial learning point for optimization.
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[INFO ] SGD: iteration 150, objective 279.284.
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[INFO ] SGD: iteration 300, objective 267.211.
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[INFO ] SGD: iteration 450, objective 252.682.
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[INFO ] SGD: iteration 600, objective 246.802.
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[INFO ] SGD: iteration 750, objective 241.592.
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[INFO ] SGD: iteration 900, objective 233.981.
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[INFO ] SGD: iteration 1050, objective 226.395.
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[INFO ] SGD: iteration 1200, objective 228.249.
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[INFO ] SGD: iteration 1350, objective 223.265.
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[INFO ] SGD: iteration 1500, objective 217.07.
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[INFO ] SGD: iteration 1650, objective 198.795.
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[INFO ] SGD: iteration 1800, objective 185.222.
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[INFO ] SGD: iteration 1950, objective 186.506.
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[INFO ] SGD: iteration 2100, objective 181.703.
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[INFO ] SGD: iteration 2250, objective 176.837.
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[INFO ] SGD: iteration 2400, objective 164.04.
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[INFO ] SGD: iteration 2550, objective 162.967.
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[INFO ] SGD: iteration 2700, objective 153.449.
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[INFO ] SGD: iteration 2850, objective 144.449.
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[INFO ] SGD: iteration 3000, objective 137.366.
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[INFO ] SGD: iteration 3150, objective 120.373.
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[INFO ] SGD: iteration 3300, objective 111.856.
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[INFO ] SGD: iteration 3450, objective 114.47.
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[INFO ] SGD: iteration 3600, objective 122.325.
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[INFO ] SGD: iteration 3750, objective 112.915.
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[INFO ] SGD: iteration 3900, objective 110.252.
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[INFO ] SGD: iteration 4050, objective 116.504.
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[INFO ] SGD: iteration 4200, objective 122.335.
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[INFO ] SGD: iteration 4350, objective 112.134.
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[INFO ] SGD: iteration 4500, objective 114.08.
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[INFO ] SGD: iteration 4650, objective 110.35.
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[INFO ] SGD: iteration 4800, objective 115.876.
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[INFO ] SGD: iteration 4950, objective 107.769.
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[INFO ] SGD: iteration 5100, objective 114.645.
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[INFO ] SGD: iteration 5250, objective 113.749.
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[INFO ] SGD: iteration 5400, objective 103.489.
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[INFO ] SGD: iteration 5550, objective 107.359.
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[INFO ] SGD: iteration 5700, objective 100.594.
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[INFO ] SGD: iteration 5850, objective 100.675.
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[INFO ] SGD: iteration 6000, objective 102.541.
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[INFO ] SGD: iteration 6150, objective 91.4195.
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[INFO ] SGD: iteration 6300, objective 100.826.
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[INFO ] SGD: iteration 6450, objective 94.8314.
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[INFO ] SGD: iteration 6600, objective 99.5293.
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[INFO ] SGD: iteration 6750, objective 96.5463.
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[INFO ] SGD: iteration 6900, objective 96.1314.
Iteration 138 : Out of 50, Impostors will be recalculated for 21 data points.
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[INFO ] SGD: iteration 7050, objective 94.7103.
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[INFO ] SGD: iteration 7200, objective 92.9258.
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[INFO ] SGD: iteration 7350, objective 100.83.
Iteration 147 : Out of 50, Impostors will be recalculated for 28 data points.
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Iteration 149 : Out of 50, Impostors will be recalculated for 49 data points.
[INFO ] SGD: maximum iterations (7500) reached; terminating optimization.
[INFO ] Accuracy on initial dataset: 96%
[INFO ] Accuracy on transformed dataset: 96.6667%
[INFO ]
[INFO ] Execution parameters:
[INFO ]   batch_size: 50
[INFO ]   distance_file:
[INFO ]   help: 0
[INFO ]   info:
[INFO ]   input_file: iris.csv
[INFO ]   k: 3
[INFO ]   labels_file: iris_labels.txt
[INFO ]   linear_scan: 0
[INFO ]   max_iterations: 100000
[INFO ]   normalize: 0
[INFO ]   optimizer: amsgrad
[INFO ]   output_file:
[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: 0.045436s
[INFO ]   lmnn_optimization: 0.096382s
[INFO ]   loading_data: 0.000629s
[INFO ]   total_time: 0.099350s
[INFO ]   tree_building: 0.000962s

mnist-10k.txt

bin/mlpack_lmnn -i mnist_test.csv -p 50 -b 1024 -P -k 3 -O amsgrad -v | grep -v 'node combinations\|base cases\|DEBUG'
[WARN ] Should pass '--output_file (-o)'; no output will be saved!
[INFO ] Loading 'mnist_test.csv' as CSV data.Size is 785 x 10000.
[INFO ] Using last column of input dataset as labels.
[INFO ] Initial learning point have invalid dimensionality.  Identity matrix will be used as initial learning point for optimization.
Iteration 0 : Out of 1024, Impostors will be recalculated for 1024 data points.
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[INFO ] SGD: iteration 10000, objective 1.69734e+07.
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[INFO ] SGD: iteration 20000, objective 1.2871e+07.
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[INFO ] SGD: iteration 30000, objective 1.0644e+07.
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[INFO ] SGD: iteration 40000, objective 9.17372e+06.
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[INFO ] SGD: iteration 50000, objective 8.10381e+06.
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[INFO ] SGD: iteration 60000, objective 7.29209e+06.
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[INFO ] SGD: iteration 70000, objective 6.64563e+06.
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[INFO ] SGD: iteration 80000, objective 6.11564e+06.
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[INFO ] SGD: iteration 90000, objective 5.65549e+06.
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[INFO ] SGD: iteration 100000, objective 5.23013e+06.
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[INFO ] SGD: iteration 110000, objective 4.85327e+06.
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[INFO ] SGD: iteration 120000, objective 4.50289e+06.
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[INFO ] SGD: iteration 130000, objective 4.17356e+06.
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[INFO ] SGD: iteration 140000, objective 3.85686e+06.
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[INFO ] SGD: iteration 150000, objective 3.55798e+06.
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[INFO ] SGD: iteration 160000, objective 3.28204e+06.
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[INFO ] SGD: iteration 170000, objective 3.01475e+06.
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[INFO ] SGD: iteration 180000, objective 2.77892e+06.
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[INFO ] SGD: iteration 190000, objective 2.55948e+06.
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[INFO ] SGD: iteration 200000, objective 2.34404e+06.
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[INFO ] SGD: iteration 210000, objective 2.14896e+06.
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[INFO ] SGD: iteration 220000, objective 1.97401e+06.
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[INFO ] SGD: iteration 230000, objective 1.82705e+06.
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[INFO ] SGD: iteration 240000, objective 1.68646e+06.
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[INFO ] SGD: iteration 250000, objective 1.57217e+06.
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[INFO ] SGD: iteration 260000, objective 1.45939e+06.
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[INFO ] SGD: iteration 270000, objective 1.35358e+06.
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[INFO ] SGD: iteration 280000, objective 1.27639e+06.
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[INFO ] SGD: iteration 290000, objective 1.29604e+06.
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[INFO ] SGD: iteration 300000, objective 1.43764e+06.
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[INFO ] SGD: iteration 310000, objective 2.23206e+06.
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[INFO ] SGD: iteration 320000, objective 2.69748e+06.
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[INFO ] SGD: iteration 330000, objective 3.15388e+06.
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[INFO ] SGD: iteration 340000, objective 2.69793e+06.
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[INFO ] SGD: iteration 350000, objective 2.40098e+06.
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[INFO ] SGD: iteration 360000, objective 2.13632e+06.
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[INFO ] SGD: iteration 370000, objective 1.85662e+06.
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[INFO ] SGD: iteration 380000, objective 1.58889e+06.
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[INFO ] SGD: iteration 390000, objective 1.3858e+06.
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[INFO ] SGD: iteration 400000, objective 1.20298e+06.
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[INFO ] SGD: iteration 410000, objective 1.05651e+06.
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[INFO ] SGD: iteration 420000, objective 948411.
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[INFO ] SGD: iteration 430000, objective 852910.
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[INFO ] SGD: iteration 440000, objective 761795.
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[INFO ] SGD: iteration 450000, objective 694060.
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[INFO ] SGD: iteration 460000, objective 625359.
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[INFO ] SGD: iteration 470000, objective 579383.
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[INFO ] SGD: iteration 480000, objective 544046.
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[INFO ] SGD: iteration 490000, objective 516864.
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[INFO ] SGD: maximum iterations (500000) reached; terminating optimization.
[INFO ] Accuracy on initial dataset: 95.82%
[INFO ] Accuracy on transformed dataset: 95.21%
[INFO ]
[INFO ] Execution parameters:
[INFO ]   batch_size: 1024
[INFO ]   distance_file:
[INFO ]   help: 0
[INFO ]   info:
[INFO ]   input_file: mnist_test.csv
[INFO ]   k: 3
[INFO ]   labels_file:
[INFO ]   linear_scan: 0
[INFO ]   max_iterations: 100000
[INFO ]   normalize: 0
[INFO ]   optimizer: amsgrad
[INFO ]   output_file:
[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: 5270.328722s (1 hrs, 27 mins, 50.3secs)
[INFO ]   lmnn_optimization: 16950.842132s (4 hrs, 42 mins, 30.8 secs)
[INFO ]   loading_data: 2.798349s
[INFO ]   total_time: 17328.999803s (4 hrs, 48 mins, 48.9 secs)
[INFO ]   tree_building: 16.504015s