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710 lines (710 loc) · 30.6 KB
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Model trained in 0:00:01.560159
Train model on 1600 examples
Model trained in 0:00:01.556021
Train model on 1600 examples
Model trained in 0:00:01.561751
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 63.86568965517242
Average non-zeros per projection matrix: 4087.40
===========================================================================
projection matrix shape: (128, 512)
Created projection matrix with the following parameters:
n_feature = 512
n_samples = 2000
max_features = 128
feature_combinations = 32.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 512 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 128 | n_column: 512 | treeple_non_zeros: 4096
Feature combinations: 32.0 | max_features: 128
------------------------------------------
YDF parameters:
exponent: 2.2857142857142856 | density_factor: 32.0 | max_num_projection: 128 | projection_density: 0.06
num of projections: 128 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:02.122086
Train model on 1600 examples
Model trained in 0:00:02.149500
Train model on 1600 examples
Model trained in 0:00:02.130302
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 31.780344827586205
Average non-zeros per projection matrix: 4067.88
===========================================================================
projection matrix shape: (256, 512)
Created projection matrix with the following parameters:
n_feature = 512
n_samples = 2000
max_features = 256
feature_combinations = 16.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 512 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 256 | n_column: 512 | treeple_non_zeros: 4096
Feature combinations: 16.0 | max_features: 256
------------------------------------------
YDF parameters:
exponent: 2.125 | density_factor: 16.0 | max_num_projection: 256 | projection_density: 0.03
num of projections: 256 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:03.396648
Train model on 1600 examples
Model trained in 0:00:03.400240
Train model on 1600 examples
Model trained in 0:00:03.393787
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 15.901896551724137
Average non-zeros per projection matrix: 4070.89
===========================================================================
projection matrix shape: (512, 512)
Created projection matrix with the following parameters:
n_feature = 512
n_samples = 2000
max_features = 512
feature_combinations = 8.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 512 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 512 | n_column: 512 | treeple_non_zeros: 4096
Feature combinations: 8.0 | max_features: 512
------------------------------------------
YDF parameters:
exponent: 2.0 | density_factor: 8.0 | max_num_projection: 512 | projection_density: 0.02
num of projections: 512 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:06.009908
Train model on 1600 examples
Model trained in 0:00:06.185543
Train model on 1600 examples
Model trained in 0:00:06.445203
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 7.747931034482758
Average non-zeros per projection matrix: 3966.94
===========================================================================
projection matrix shape: (1024, 512)
Created projection matrix with the following parameters:
n_feature = 512
n_samples = 2000
max_features = 1024
feature_combinations = 4.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 512 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 1024 | n_column: 512 | treeple_non_zeros: 4096
Feature combinations: 4.0 | max_features: 1024
------------------------------------------
YDF parameters:
exponent: 1.9 | density_factor: 4.0 | max_num_projection: 1024 | projection_density: 0.01
num of projections: 1024 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:11.253755
Train model on 1600 examples
Model trained in 0:00:11.272408
Train model on 1600 examples
Model trained in 0:00:11.267812
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 3.606379310344827
Average non-zeros per projection matrix: 3692.93
===========================================================================
projection matrix shape: (2048, 512)
Created projection matrix with the following parameters:
n_feature = 512
n_samples = 2000
max_features = 2048
feature_combinations = 2.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 512 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 2048 | n_column: 512 | treeple_non_zeros: 4096
Feature combinations: 2.0 | max_features: 2048
------------------------------------------
YDF parameters:
exponent: 1.8181818181818181 | density_factor: 2.0 | max_num_projection: 2048 | projection_density: 0.00
num of projections: 2048 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:22.311504
Train model on 1600 examples
Model trained in 0:00:21.877013
Train model on 1600 examples
Model trained in 0:00:22.135068
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 2.167413793103448
Average non-zeros per projection matrix: 4438.86
===========================================================================
projection matrix shape: (4096, 512)
Created projection matrix with the following parameters:
n_feature = 512
n_samples = 2000
max_features = 4096
feature_combinations = 1.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 512 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 4096 | n_column: 512 | treeple_non_zeros: 4096
Feature combinations: 1.0 | max_features: 4096
------------------------------------------
YDF parameters:
exponent: 1.75 | density_factor: 1.0 | max_num_projection: 4096 | projection_density: 0.00
num of projections: 4096 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:44.384145
Train model on 1600 examples
Model trained in 0:00:42.933161
Train model on 1600 examples
Model trained in 0:00:43.381861
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 1.7710344827586206
Average non-zeros per projection matrix: 7254.16
===========================================================================
projection matrix shape: (64, 1024)
Created projection matrix with the following parameters:
n_feature = 1024
n_samples = 2000
max_features = 64
feature_combinations = 64.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 1024 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 64 | n_column: 1024 | treeple_non_zeros: 4096
Feature combinations: 64.0 | max_features: 64
------------------------------------------
YDF parameters:
exponent: 2.666666666666667 | density_factor: 64.0 | max_num_projection: 64 | projection_density: 0.06
num of projections: 64 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:01.891104
Train model on 1600 examples
Model trained in 0:00:01.943475
Train model on 1600 examples
Model trained in 0:00:01.911878
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 64.01310344827587
Average non-zeros per projection matrix: 4096.84
===========================================================================
projection matrix shape: (128, 1024)
Created projection matrix with the following parameters:
n_feature = 1024
n_samples = 2000
max_features = 128
feature_combinations = 32.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 1024 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 128 | n_column: 1024 | treeple_non_zeros: 4096
Feature combinations: 32.0 | max_features: 128
------------------------------------------
YDF parameters:
exponent: 2.428571428571429 | density_factor: 32.0 | max_num_projection: 128 | projection_density: 0.03
num of projections: 128 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:02.651236
Train model on 1600 examples
Model trained in 0:00:02.765161
Train model on 1600 examples
Model trained in 0:00:02.775786
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 32.047586206896554
Average non-zeros per projection matrix: 4102.09
===========================================================================
projection matrix shape: (256, 1024)
Created projection matrix with the following parameters:
n_feature = 1024
n_samples = 2000
max_features = 256
feature_combinations = 16.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 1024 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 256 | n_column: 1024 | treeple_non_zeros: 4096
Feature combinations: 16.0 | max_features: 256
------------------------------------------
YDF parameters:
exponent: 2.25 | density_factor: 16.0 | max_num_projection: 256 | projection_density: 0.02
num of projections: 256 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:04.600894
Train model on 1600 examples
Model trained in 0:00:04.367579
Train model on 1600 examples
Model trained in 0:00:04.357409
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 15.837241379310344
Average non-zeros per projection matrix: 4054.33
===========================================================================
projection matrix shape: (512, 1024)
Created projection matrix with the following parameters:
n_feature = 1024
n_samples = 2000
max_features = 512
feature_combinations = 8.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 1024 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 512 | n_column: 1024 | treeple_non_zeros: 4096
Feature combinations: 8.0 | max_features: 512
------------------------------------------
YDF parameters:
exponent: 2.111111111111111 | density_factor: 8.0 | max_num_projection: 512 | projection_density: 0.01
num of projections: 512 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:07.911977
Train model on 1600 examples
Model trained in 0:00:07.867496
Train model on 1600 examples
Model trained in 0:00:07.881556
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 7.715000000000001
Average non-zeros per projection matrix: 3950.08
===========================================================================
projection matrix shape: (1024, 1024)
Created projection matrix with the following parameters:
n_feature = 1024
n_samples = 2000
max_features = 1024
feature_combinations = 4.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 1024 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 1024 | n_column: 1024 | treeple_non_zeros: 4096
Feature combinations: 4.0 | max_features: 1024
------------------------------------------
YDF parameters:
exponent: 2.0 | density_factor: 4.0 | max_num_projection: 1024 | projection_density: 0.00
num of projections: 1024 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:14.924360
Train model on 1600 examples
Model trained in 0:00:14.935168
Train model on 1600 examples
Model trained in 0:00:14.864771
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 3.5636206896551723
Average non-zeros per projection matrix: 3649.15
===========================================================================
projection matrix shape: (2048, 1024)
Created projection matrix with the following parameters:
n_feature = 1024
n_samples = 2000
max_features = 2048
feature_combinations = 2.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 1024 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 2048 | n_column: 1024 | treeple_non_zeros: 4096
Feature combinations: 2.0 | max_features: 2048
------------------------------------------
YDF parameters:
exponent: 1.9090909090909092 | density_factor: 2.0 | max_num_projection: 2048 | projection_density: 0.00
num of projections: 2048 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:28.746338
Train model on 1600 examples
Model trained in 0:00:28.799523
Train model on 1600 examples
Model trained in 0:00:29.258651
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 2.048620689655172
Average non-zeros per projection matrix: 4195.58
===========================================================================
projection matrix shape: (4096, 1024)
Created projection matrix with the following parameters:
n_feature = 1024
n_samples = 2000
max_features = 4096
feature_combinations = 1.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 1024 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 4096 | n_column: 1024 | treeple_non_zeros: 4096
Feature combinations: 1.0 | max_features: 4096
------------------------------------------
YDF parameters:
exponent: 1.8333333333333335 | density_factor: 1.0 | max_num_projection: 4096 | projection_density: 0.00
num of projections: 4096 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:56.908249
Train model on 1600 examples
Model trained in 0:00:57.449999
Train model on 1600 examples
Model trained in 0:00:56.771298
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 1.6294827586206897
Average non-zeros per projection matrix: 6674.36
===========================================================================
projection matrix shape: (64, 2048)
Created projection matrix with the following parameters:
n_feature = 2048
n_samples = 2000
max_features = 64
feature_combinations = 64.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 2048 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 64 | n_column: 2048 | treeple_non_zeros: 4096
Feature combinations: 64.0 | max_features: 64
------------------------------------------
YDF parameters:
exponent: 2.8333333333333335 | density_factor: 64.0 | max_num_projection: 64 | projection_density: 0.03
num of projections: 64 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:00.154788
Train model on 1600 examples
Model trained in 0:00:00.152882
Train model on 1600 examples
Model trained in 0:00:00.156717
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 63.86344827586207
Average non-zeros per projection matrix: 4087.26
===========================================================================
projection matrix shape: (128, 2048)
Created projection matrix with the following parameters:
n_feature = 2048
n_samples = 2000
max_features = 128
feature_combinations = 32.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 2048 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 128 | n_column: 2048 | treeple_non_zeros: 4096
Feature combinations: 32.0 | max_features: 128
------------------------------------------
YDF parameters:
exponent: 2.5714285714285716 | density_factor: 32.0 | max_num_projection: 128 | projection_density: 0.02
num of projections: 128 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:03.711431
Train model on 1600 examples
Model trained in 0:00:03.635906
Train model on 1600 examples
Model trained in 0:00:03.661818
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 31.90655172413793
Average non-zeros per projection matrix: 4084.04
===========================================================================
projection matrix shape: (256, 2048)
Created projection matrix with the following parameters:
n_feature = 2048
n_samples = 2000
max_features = 256
feature_combinations = 16.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 2048 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 256 | n_column: 2048 | treeple_non_zeros: 4096
Feature combinations: 16.0 | max_features: 256
------------------------------------------
YDF parameters:
exponent: 2.375 | density_factor: 16.0 | max_num_projection: 256 | projection_density: 0.01
num of projections: 256 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:06.203590
Train model on 1600 examples
Model trained in 0:00:06.213799
Train model on 1600 examples
Model trained in 0:00:06.477581
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 15.87103448275862
Average non-zeros per projection matrix: 4062.98
===========================================================================
projection matrix shape: (512, 2048)
Created projection matrix with the following parameters:
n_feature = 2048
n_samples = 2000
max_features = 512
feature_combinations = 8.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 2048 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 512 | n_column: 2048 | treeple_non_zeros: 4096
Feature combinations: 8.0 | max_features: 512
------------------------------------------
YDF parameters:
exponent: 2.2222222222222223 | density_factor: 8.0 | max_num_projection: 512 | projection_density: 0.00
num of projections: 512 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:11.598883
Train model on 1600 examples
Model trained in 0:00:11.808706
Train model on 1600 examples
Model trained in 0:00:11.607422
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 7.837068965517242
Average non-zeros per projection matrix: 4012.58
===========================================================================
projection matrix shape: (1024, 2048)
Created projection matrix with the following parameters:
n_feature = 2048
n_samples = 2000
max_features = 1024
feature_combinations = 4.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 2048 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 1024 | n_column: 2048 | treeple_non_zeros: 4096
Feature combinations: 4.0 | max_features: 1024
------------------------------------------
YDF parameters:
exponent: 2.1 | density_factor: 4.0 | max_num_projection: 1024 | projection_density: 0.00
num of projections: 1024 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:22.234761
Train model on 1600 examples
Model trained in 0:00:22.637346
Train model on 1600 examples
Model trained in 0:00:22.224843
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 3.7070689655172413
Average non-zeros per projection matrix: 3796.04
===========================================================================
projection matrix shape: (2048, 2048)
Created projection matrix with the following parameters:
n_feature = 2048
n_samples = 2000
max_features = 2048
feature_combinations = 2.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 2048 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 2048 | n_column: 2048 | treeple_non_zeros: 4096
Feature combinations: 2.0 | max_features: 2048
------------------------------------------
YDF parameters:
exponent: 2.0 | density_factor: 2.0 | max_num_projection: 2048 | projection_density: 0.00
num of projections: 2048 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:43.241250
Train model on 1600 examples
Model trained in 0:00:43.628765
Train model on 1600 examples
Model trained in 0:00:43.722083
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 1.9913793103448276
Average non-zeros per projection matrix: 4078.34
===========================================================================
projection matrix shape: (4096, 2048)
Created projection matrix with the following parameters:
n_feature = 2048
n_samples = 2000
max_features = 4096
feature_combinations = 1.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 2048 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 4096 | n_column: 2048 | treeple_non_zeros: 4096
Feature combinations: 1.0 | max_features: 4096
------------------------------------------
YDF parameters:
exponent: 1.9166666666666667 | density_factor: 1.0 | max_num_projection: 4096 | projection_density: 0.00
num of projections: 4096 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:01:26.228749
Train model on 1600 examples
Model trained in 0:01:25.926761
Train model on 1600 examples
Model trained in 0:01:25.635947
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 1.4446551724137933
Average non-zeros per projection matrix: 5917.31
===========================================================================
projection matrix shape: (64, 4096)
Created projection matrix with the following parameters:
n_feature = 4096
n_samples = 2000
max_features = 64
feature_combinations = 64.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 4096 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 64 | n_column: 4096 | treeple_non_zeros: 4096
Feature combinations: 64.0 | max_features: 64
------------------------------------------
YDF parameters:
exponent: 3.0 | density_factor: 64.0 | max_num_projection: 64 | projection_density: 0.02
num of projections: 64 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:00.281077
Train model on 1600 examples
Model trained in 0:00:00.255119
Train model on 1600 examples
Model trained in 0:00:00.266818
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 64.02762907960629
Average non-zeros per projection matrix: 4097.77
===========================================================================
projection matrix shape: (128, 4096)
Created projection matrix with the following parameters:
n_feature = 4096
n_samples = 2000
max_features = 128
feature_combinations = 32.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 4096 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 128 | n_column: 4096 | treeple_non_zeros: 4096
Feature combinations: 32.0 | max_features: 128
------------------------------------------
YDF parameters:
exponent: 2.7142857142857144 | density_factor: 32.0 | max_num_projection: 128 | projection_density: 0.01
num of projections: 128 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:00.233165
Train model on 1600 examples
Model trained in 0:00:00.243097
Train model on 1600 examples
Model trained in 0:00:00.241422
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 31.971689970654236
Average non-zeros per projection matrix: 4092.38
===========================================================================
projection matrix shape: (256, 4096)
Created projection matrix with the following parameters:
n_feature = 4096
n_samples = 2000
max_features = 256
feature_combinations = 16.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 4096 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 256 | n_column: 4096 | treeple_non_zeros: 4096
Feature combinations: 16.0 | max_features: 256
------------------------------------------
YDF parameters:
exponent: 2.5 | density_factor: 16.0 | max_num_projection: 256 | projection_density: 0.00
num of projections: 256 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:09.908154
Train model on 1600 examples
Model trained in 0:00:09.917247
Train model on 1600 examples
Model trained in 0:00:09.879381
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 15.940172413793103
Average non-zeros per projection matrix: 4080.68
===========================================================================
projection matrix shape: (512, 4096)
Created projection matrix with the following parameters:
n_feature = 4096
n_samples = 2000
max_features = 512
feature_combinations = 8.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 4096 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 512 | n_column: 4096 | treeple_non_zeros: 4096
Feature combinations: 8.0 | max_features: 512
------------------------------------------
YDF parameters:
exponent: 2.333333333333333 | density_factor: 8.0 | max_num_projection: 512 | projection_density: 0.00
num of projections: 512 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:18.783387
Train model on 1600 examples
Model trained in 0:00:18.816675
Train model on 1600 examples
Model trained in 0:00:18.844350
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 7.918103448275862
Average non-zeros per projection matrix: 4054.07
===========================================================================
projection matrix shape: (1024, 4096)
Created projection matrix with the following parameters:
n_feature = 4096
n_samples = 2000
max_features = 1024
feature_combinations = 4.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 4096 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 1024 | n_column: 4096 | treeple_non_zeros: 4096
Feature combinations: 4.0 | max_features: 1024
------------------------------------------
YDF parameters:
exponent: 2.2 | density_factor: 4.0 | max_num_projection: 1024 | projection_density: 0.00
num of projections: 1024 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:00:37.640748
Train model on 1600 examples
Model trained in 0:00:36.694341
Train model on 1600 examples
Model trained in 0:00:36.540699
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 3.7718965517241383
Average non-zeros per projection matrix: 3862.42
===========================================================================
projection matrix shape: (2048, 4096)
Created projection matrix with the following parameters:
n_feature = 4096
n_samples = 2000
max_features = 2048
feature_combinations = 2.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 4096 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 2048 | n_column: 4096 | treeple_non_zeros: 4096
Feature combinations: 2.0 | max_features: 2048
------------------------------------------
YDF parameters:
exponent: 2.090909090909091 | density_factor: 2.0 | max_num_projection: 2048 | projection_density: 0.00
num of projections: 2048 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:01:13.677105
Train model on 1600 examples
Model trained in 0:01:12.512287
Train model on 1600 examples
Model trained in 0:01:12.850936
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 1.9701724137931034
Average non-zeros per projection matrix: 4034.91
===========================================================================
projection matrix shape: (4096, 4096)
Created projection matrix with the following parameters:
n_feature = 4096
n_samples = 2000
max_features = 4096
feature_combinations = 1.0
max_features * feature_combinations = 4096.0
Number of non-zeros: 4096
-----------------------------------------
Constants: n_dim: 4096 | n_tree: 200 | n_samples: 2000 | target_non_zeros: 4096 | n_rep: 3
Projection matrix: n_row: 4096 | n_column: 4096 | treeple_non_zeros: 4096
Feature combinations: 1.0 | max_features: 4096
------------------------------------------
YDF parameters:
exponent: 2.0 | density_factor: 1.0 | max_num_projection: 4096 | projection_density: 0.00
num of projections: 4096 | expected non-zeros: 4096.00
Train model on 1600 examples
Model trained in 0:02:24.210266
Train model on 1600 examples
Model trained in 0:02:25.565718
Train model on 1600 examples
Model trained in 0:02:23.453184
-----------------------------------------
Average nonzeros number in projection vectors among all nodes: 1.376206896551724
Average non-zeros per projection matrix: 5636.94