Mobius strip
[1]:
%matplotlib inline
[2]:
# Not really required
import sys
sys.path.insert(0, '../../..')
[3]:
from pyLDLE2 import datasets
from pyLDLE2 import buml_, util_
matplotlib.get_backend() = module://matplotlib_inline.backend_inline
[4]:
save_dir_root = '../data/pyLDLE2/mobiusstrip3d/'
[5]:
X, labelsMat, ddX = datasets.Datasets().mobiusstrip3d()
X.shape = (8280, 3)
[6]:
# The supplied options would override the default options
buml_obj = buml_.BUML(local_opts={'algo':'LPCA'},
intermed_opts={'eta_min': 5},
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
local_param: all 8280 points processed...
max distortion is 1.005234
Done.
##############################
Time elapsed from last time log: 0.8 seconds
Total time elapsed: 0.8 seconds
##############################
Posprocessing local parameterizations.
#Param replaced: 951, max distortion: 1.005234
#Param replaced: 2, max distortion: 1.005234
#Param replaced: 0, max distortion: 1.005234
Max local distortion after postprocessing: 1.0052336714783159
Done.
##############################
Time elapsed from last time log: 1.9 seconds
Total time elapsed: 2.7 seconds
##############################
Max local distortion = 1.0052336714783159
Constructing intermediate views.
eta = 2.
#non-empty views with sz < 2 = 8280
#nodes in views with sz < 2 = 8280
Costs computed when eta = 2.
##############################
Time elapsed from last time log: 5.1 seconds
Total time elapsed: 5.7 seconds
##############################
ctr=4775, total_len_S=13674, avg_len_S=2.864
Remaining #nodes in views with sz < 2 = 0
Done with eta = 2.
##############################
Time elapsed from last time log: 25.5 seconds
Total time elapsed: 31.2 seconds
##############################
eta = 3.
#non-empty views with sz < 3 = 2437
#nodes in views with sz < 3 = 4874
Costs computed when eta = 3.
##############################
Time elapsed from last time log: 2.5 seconds
Total time elapsed: 33.8 seconds
##############################
ctr=3197, total_len_S=57774, avg_len_S=18.071
Remaining #nodes in views with sz < 3 = 0
Done with eta = 3.
##############################
Time elapsed from last time log: 139.4 seconds
Total time elapsed: 173.2 seconds
##############################
eta = 4.
#non-empty views with sz < 4 = 744
#nodes in views with sz < 4 = 2232
Costs computed when eta = 4.
##############################
Time elapsed from last time log: 1.5 seconds
Total time elapsed: 174.7 seconds
##############################
ctr=1658, total_len_S=41151, avg_len_S=24.820
Remaining #nodes in views with sz < 4 = 0
Done with eta = 4.
##############################
Time elapsed from last time log: 44.5 seconds
Total time elapsed: 219.2 seconds
##############################
eta = 5.
#non-empty views with sz < 5 = 388
#nodes in views with sz < 5 = 1552
Costs computed when eta = 5.
##############################
Time elapsed from last time log: 1.0 seconds
Total time elapsed: 220.2 seconds
##############################
ctr=1199, total_len_S=38111, avg_len_S=31.786
Remaining #nodes in views with sz < 5 = 0
Done with eta = 5.
##############################
Time elapsed from last time log: 27.1 seconds
Total time elapsed: 247.3 seconds
##############################
Pruning and cleaning up.
Done.
##############################
Time elapsed from last time log: 0.7 seconds
Total time elapsed: 248.0 seconds
##############################
After clustering, max distortion is 1.007395
Using rigid transforms for alignment.
Computing laterations scores for overlaps b/w intermed views
Done
##############################
Time elapsed from last time log: 0.8 seconds
Total time elapsed: 0.8 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: 0.8 seconds
##############################
Computing initial embedding using: procrustes algorithm
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 0.8 seconds
##############################
Initial alignment of 296 views completed
Initial alignment of 592 views completed
Initial alignment of 888 views completed
Embedding initialized.
##############################
Time elapsed from last time log: 1.2 seconds
Total time elapsed: 2.0 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 0
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 4.9 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.1 seconds
Total time elapsed: 11.0 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 1
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 13.2 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.1 seconds
Total time elapsed: 19.3 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 2
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 21.5 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.5 seconds
Total time elapsed: 27.9 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 3
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 30.3 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.3 seconds
Total time elapsed: 36.6 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 4
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 38.9 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.6 seconds
Total time elapsed: 45.4 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 5
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 47.8 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.3 seconds
Total time elapsed: 54.1 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 6
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 56.7 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.2 seconds
Total time elapsed: 62.9 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 7
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 65.2 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.0 seconds
Total time elapsed: 71.2 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 8
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 73.6 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.1 seconds
Total time elapsed: 79.7 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 9
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 82.0 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.1 seconds
Total time elapsed: 88.1 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 10
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 90.5 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.2 seconds
Total time elapsed: 96.6 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 11
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 98.8 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.5 seconds
Total time elapsed: 105.3 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 12
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 107.9 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.2 seconds
Total time elapsed: 114.1 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 13
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 116.6 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.7 seconds
Total time elapsed: 123.3 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 14
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 125.7 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.1 seconds
Total time elapsed: 131.7 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 15
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 134.1 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.4 seconds
Total time elapsed: 140.5 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 16
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 142.8 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.1 seconds
Total time elapsed: 148.9 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 17
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 151.3 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.0 seconds
Total time elapsed: 157.2 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 18
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 159.6 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.1 seconds
Total time elapsed: 165.7 seconds
##############################
Refining with rgd algorithm for 100 iterations.
Refinement iteration: 19
##############################
Time elapsed from last time log: 0.0 seconds
Total time elapsed: 168.1 seconds
##############################
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Descent starts
Done.
##############################
Time elapsed from last time log: 6.1 seconds
Total time elapsed: 174.2 seconds
##############################
Computing error.
min and max weights: 1.0 1.0
Computing Pseudoinverse of a matrix of L of size 8280 + 1184 multiplied with B
Computing svd
Done
Alignment error: 0.001550
##############################
Time elapsed from last time log: 3.7 seconds
Total time elapsed: 177.9 seconds
##############################
[7]:
array([[-0.20290935, -0.53078131],
[-0.2034394 , -0.5363045 ],
[-0.20396265, -0.54181468],
...,
[-0.21120584, -0.54101489],
[-0.21047748, -0.53551813],
[-0.20975785, -0.53001663]])
[8]:
%matplotlib inline
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', )
[9]:
util_.save(save_dir_root, 'lpca.dat', [X, labelsMat, buml_obj])
[ ]: