Klein Bottle
[1]:
%matplotlib inline
[2]:
# Not really required
import sys
sys.path.insert(0, '../../..')
[3]:
from pyLDLE2 import datasets
from pyLDLE2 import buml_
from pyLDLE2 import util_
matplotlib.get_backend() = module://matplotlib_inline.backend_inline
[4]:
save_dir_root = '../data/pyLDLE2/kleinbottle4d/'
[5]:
X, labelsMat, ddX = datasets.Datasets().kleinbottle4d()
X.shape = (10000, 4)
[6]:
# The supplied options would override the default options
buml_obj = buml_.BUML(local_opts={'algo':'LPCA'},
vis_opts={'c': labelsMat[:,0], 'save_dir': save_dir_root},
verbose=True, debug=True)
local_opts['k_nn0'] = 700 is created.
Options provided:
local_opts:
{
"Atilde_method": "LDLE_1",
"N": 100,
"U_method": "k_nn",
"algo": "LPCA",
"alpha": 1,
"debug": true,
"delta": 0.9,
"gl_type": "unnorm",
"k": 28,
"k_nn": 49,
"k_nn0": 700,
"k_tune": 7,
"lambda1_decay": 0.75,
"lambda1_init": 8,
"lambda1_min": 0.001,
"max_iter": 300,
"max_sparsity": 0.9,
"metric": "euclidean",
"n_proc": 32,
"p": 0.99,
"power": 5,
"pp_n_thresh": 32,
"radius": 0.5,
"reg": 0.0,
"scale_by": "gamma",
"tau": 50,
"to_postprocess": true,
"verbose": true
}
intermed_opts:
{
"algo": "best",
"debug": true,
"eta_max": 25,
"eta_min": 5,
"len_S_thresh": 256,
"local_algo": "LPCA",
"metric": "euclidean",
"n_proc": 32,
"n_times": 4,
"verbose": true
}
global_opts:
{
"add_dim": false,
"align_transform": "rigid",
"align_w_parent_only": true,
"alpha": 0.3,
"beta": {
"align": null,
"repel": 1
},
"color_tear": true,
"compute_error": false,
"debug": true,
"eps": 1e-08,
"err_tol": 0.0001,
"far_off_points_type": "reuse_fixed",
"init_algo_name": "procrustes",
"k": 28,
"max_internal_iter": 100,
"max_iter": 20,
"metric": "euclidean",
"n_proc": 32,
"n_repel": 0,
"nu": 3,
"patience": 5,
"refine_algo_name": "rgd",
"repel_by": 0.0,
"to_tear": true,
"verbose": true,
"vis_before_init": false
}
[7]:
buml_obj.fit(X=X)
Computing local views using LPCA
Constructing local views using LPCA
local_param: all 10000 points processed...
max distortion is 1.056582
Done.
##############################
Time elapsed from last time log: 0.9 seconds
Total time elapsed: 0.9 seconds
##############################
Posprocessing local parameterizations.
#Param replaced: 349, max distortion: 1.056582
#Param replaced: 0, max distortion: 1.056582
Max local distortion after postprocessing: 1.0565815811361594
Done.
##############################
Time elapsed from last time log: 2.1 seconds
Total time elapsed: 3.0 seconds
##############################
Max local distortion = 1.0565815811361594
Constructing intermediate views.
eta = 2.
#non-empty views with sz < 2 = 10000
#nodes in views with sz < 2 = 10000
Costs computed when eta = 2.
##############################
Time elapsed from last time log: 9.5 seconds
Total time elapsed: 10.2 seconds
##############################
ctr=5675, total_len_S=15660, avg_len_S=2.759
Remaining #nodes in views with sz < 2 = 0
Done with eta = 2.
##############################
Time elapsed from last time log: 25.8 seconds
Total time elapsed: 36.0 seconds
##############################
eta = 3.
#non-empty views with sz < 3 = 3078
#nodes in views with sz < 3 = 6156
Costs computed when eta = 3.
##############################
Time elapsed from last time log: 2.8 seconds
Total time elapsed: 38.9 seconds
##############################
ctr=3408, total_len_S=57941, avg_len_S=17.001
Remaining #nodes in views with sz < 3 = 0
Done with eta = 3.
##############################
Time elapsed from last time log: 106.8 seconds
Total time elapsed: 145.6 seconds
##############################
eta = 4.
#non-empty views with sz < 4 = 1114
#nodes in views with sz < 4 = 3342
Costs computed when eta = 4.
##############################
Time elapsed from last time log: 1.7 seconds
Total time elapsed: 147.3 seconds
##############################
ctr=2131, total_len_S=52837, avg_len_S=24.794
Remaining #nodes in views with sz < 4 = 0
Done with eta = 4.
##############################
Time elapsed from last time log: 56.0 seconds
Total time elapsed: 203.4 seconds
##############################
eta = 5.
#non-empty views with sz < 5 = 629
#nodes in views with sz < 5 = 2516
Costs computed when eta = 5.
##############################
Time elapsed from last time log: 1.4 seconds
Total time elapsed: 204.7 seconds
##############################
ctr=1652, total_len_S=50994, avg_len_S=30.868
Remaining #nodes in views with sz < 5 = 0
Done with eta = 5.
##############################
Time elapsed from last time log: 45.9 seconds
Total time elapsed: 250.6 seconds
##############################
Pruning and cleaning up.
Done.
##############################
Time elapsed from last time log: 0.9 seconds
Total time elapsed: 251.5 seconds
##############################
After clustering, max distortion is 1.061879
Using rigid transforms for alignment.
Computing laterations scores for overlaps b/w intermed views
Done
##############################
Time elapsed from last time log: 1.0 seconds
Total time elapsed: 1.0 seconds
##############################
Computing a lateration.
Seq of intermediate views and their predecessors computed.
No. of connected components = 1
Done.
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 1.0 seconds
##############################
Computing initial embedding using: procrustes algorithm
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 1.0 seconds
##############################
Initial alignment of 389 views completed
Initial alignment of 778 views completed
Initial alignment of 1167 views completed
Embedding initialized.
##############################
Time elapsed from last time log: 1.3 seconds
Total time elapsed: 2.3 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 0
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 16.1 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 12.2 seconds
Total time elapsed: 28.3 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 1
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 39.5 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.3 seconds
Total time elapsed: 48.8 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 2
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 59.7 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 10.0 seconds
Total time elapsed: 69.8 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 3
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 80.5 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 11.6 seconds
Total time elapsed: 92.1 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 4
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 102.4 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.4 seconds
Total time elapsed: 111.8 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 5
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 122.5 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 10.5 seconds
Total time elapsed: 133.0 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 6
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 142.7 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 12.1 seconds
Total time elapsed: 154.9 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 7
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 164.9 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.4 seconds
Total time elapsed: 174.3 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 8
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 184.2 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.0 seconds
Total time elapsed: 193.1 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 9
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 202.1 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.0 seconds
Total time elapsed: 211.1 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 10
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 220.7 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.2 seconds
Total time elapsed: 229.8 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 11
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 238.9 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.0 seconds
Total time elapsed: 247.9 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 12
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 256.9 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 8.8 seconds
Total time elapsed: 265.7 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 13
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 274.9 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.2 seconds
Total time elapsed: 284.1 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 14
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 293.1 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 8.9 seconds
Total time elapsed: 302.0 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 15
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 311.2 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 8.9 seconds
Total time elapsed: 320.0 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 16
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 328.7 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.0 seconds
Total time elapsed: 337.8 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 17
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 347.5 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.1 seconds
Total time elapsed: 356.7 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 18
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 365.7 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.0 seconds
Total time elapsed: 374.6 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 19
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 383.5 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 9.0 seconds
Total time elapsed: 392.5 seconds
##############################
Computing error.
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 10000 + 1556 multiplied with B
Computing svd
Done
Alignment error: 1.520509
##############################
Time elapsed from last time log: 5.7 seconds
Total time elapsed: 398.1 seconds
##############################
[7]:
array([[ 0.21161009, -0.47270385],
[ 0.20363109, -0.47777038],
[ 0.19686546, -0.48409761],
...,
[ 0.19508274, -0.49839741],
[ 0.20291344, -0.49299073],
[ 0.20999865, -0.48656919]])
[8]:
buml_obj.GlobalViews.vis_embedding(buml_obj.GlobalViews.y_final, buml_obj.vis, buml_obj.vis_opts,
buml_obj.GlobalViews.color_of_pts_on_tear_final,
title='Final global embedding', )
[10]:
util_.save(save_dir_root, 'lpca.dat', [X, labelsMat, buml_obj])