In [1]:
%matplotlib inline
In [102]:
import h5py
import sklearn
import numpy as np
import sklearn.manifold
import sklearn.decomposition
import matplotlib.pyplot as plt
import numpy.linalg
from matplotlib import offsetbox
In [3]:
f = h5py.File("analysis/final_clust_states.h5","r")
In [20]:
!ls analysis/
clust_state_row_labels.txt final_clust_states.h5
In [27]:
labels = []
for l in open("analysis/clust_state_row_labels.txt"):
labels.append(l.strip().split("\t"))
labels[-1][0] = labels[-1][0].split(",")
labels[-1][1] = labels[-1][1].split(",")
In [32]:
labels[13]
Out[32]:
[['park',
'it',
'Disneyland',
'Disneyland',
'home',
'Disneyland',
'Disney',
'Disney',
'park',
'it',
'Disney',
'park',
'Disney',
'its',
'Disney',
'park',
'Disney',
'park'],
['NOMINAL',
'PRONOMINAL',
'PROPER',
'PROPER',
'NOMINAL',
'PROPER',
'PROPER',
'PROPER',
'NOMINAL',
'PRONOMINAL',
'PROPER',
'NOMINAL',
'PROPER',
'PRONOMINAL',
'PROPER',
'NOMINAL',
'PROPER',
'NOMINAL']]
In [4]:
hidden = f["H"]
In [42]:
for i in range(hidden.shape[0]):
print(i, np.linalg.norm(hidden[i]))
0 0.817873
1 0.845734
2 0.659487
3 0.619255
4 1.41886
5 0.867743
6 0.817572
7 0.597214
8 0.823954
9 0.641607
10 0.50347
11 0.589036
12 1.65708
13 2.126
14 0.587235
15 0.69247
16 0.77976
17 0.773454
18 0.727528
19 0.886542
20 0.676089
21 0.578487
22 0.465144
23 0.655109
24 1.04853
25 0.681311
26 0.884804
27 0.527199
28 1.27957
29 0.770106
30 0.596377
31 0.977573
32 0.738617
33 0.676873
34 0.846227
35 0.69331
36 0.77558
37 0.970942
38 0.735069
39 0.69787
40 0.558287
41 0.774043
42 0.89943
43 0.851723
44 0.741248
45 0.649145
46 0.770146
47 0.928344
48 0.510502
49 0.630658
50 0.592204
51 0.749639
52 0.478454
53 0.535174
54 0.876745
55 1.007
56 0.802772
57 0.57912
58 0.654841
59 0.851187
60 0.620705
61 0.929935
62 0.445859
63 1.49554
64 1.05511
65 0.734595
66 0.563959
67 0.643692
68 0.565637
69 0.827357
70 0.725475
71 0.699751
72 0.630533
73 0.941744
74 0.630941
75 0.747427
76 0.562154
77 0.745872
78 0.859395
79 0.662959
80 0.660356
81 0.850518
82 0.683561
83 0.59317
84 0.772025
85 0.687862
86 0.673426
87 0.4709
88 0.689089
89 0.869426
90 0.988706
91 0.81657
92 0.641331
93 0.741594
94 1.01239
95 0.841196
96 0.729638
97 0.87959
98 0.763785
99 0.696711
100 0.678872
101 1.44363
102 0.748359
103 0.570566
104 0.721351
105 0.795602
106 0.692967
107 0.772757
108 0.77928
109 0.564852
110 0.895665
111 0.884761
112 0.757828
113 0.521428
114 0.619927
115 0.93215
116 0.611541
117 0.713184
118 0.810055
119 0.551925
120 0.565511
121 0.751608
122 1.16254
123 0.617451
124 0.864992
125 0.710235
126 1.00461
127 0.680968
128 0.840576
129 0.592694
130 0.5885
131 0.805805
132 0.728624
133 0.634633
134 1.10605
135 0.76207
136 0.543969
137 0.611275
138 0.571495
139 1.12656
140 0.877989
141 1.1391
142 0.662472
143 0.892555
144 0.614272
145 0.699534
146 0.864864
147 0.733564
148 0.71416
149 0.98109
150 0.86154
151 0.915352
152 0.658801
153 0.612177
154 0.492801
155 0.955546
156 0.719393
157 0.728398
158 0.652662
159 0.703445
160 0.760376
161 0.744248
162 0.613953
163 0.598165
164 0.568854
165 0.943739
166 0.529251
167 0.612607
168 0.704136
169 0.520842
170 1.13781
171 0.84344
172 0.607745
173 0.535921
174 0.614369
175 0.671713
176 0.615995
177 0.660091
178 0.548295
179 0.618871
180 0.494722
181 0.472729
182 0.674518
183 0.900579
184 0.832887
185 0.931448
186 0.620149
187 0.512415
188 0.818136
189 0.715854
190 0.58692
191 0.755434
192 0.686535
193 0.690659
194 0.492853
195 0.606945
196 0.64185
197 1.22805
198 1.59213
199 0.743422
200 1.0148
201 0.593068
202 0.5915
203 0.848737
204 0.681975
205 0.82282
206 0.567819
207 0.625222
208 0.697043
209 0.676725
210 0.54785
211 0.62046
212 0.700494
213 0.740731
214 1.38646
215 0.626946
216 0.704326
217 0.662574
218 0.612136
219 0.812224
220 0.80679
221 1.73013
222 0.933812
223 0.676742
224 0.644088
225 0.549077
226 0.667336
227 0.696521
228 0.699727
229 0.640218
230 0.656284
231 0.729042
232 0.641317
233 0.659344
234 0.636635
235 0.720739
236 0.747737
237 0.6019
238 0.567349
239 0.543163
240 0.685053
241 0.853532
242 0.804939
243 0.710652
244 0.725033
245 0.966216
246 0.680219
247 0.648553
248 0.650267
249 0.781016
250 0.832682
251 0.893279
252 0.617651
253 0.985608
254 0.636101
255 0.712155
256 1.26341
257 0.624764
258 0.746421
259 0.686991
260 0.630415
261 0.73197
262 0.728989
263 0.613127
264 0.506009
265 1.01438
266 1.37254
267 0.722806
268 0.706913
269 0.647629
270 0.675481
271 0.712204
272 0.916137
273 0.869266
274 0.746719
275 1.02498
276 0.525316
277 0.520457
278 0.817028
279 0.925973
280 0.632058
281 1.57144
282 0.716346
283 0.530276
284 0.638077
285 1.01304
286 0.670371
287 0.70508
288 0.637108
289 1.36366
290 0.601769
291 1.08604
292 0.567539
293 1.05005
294 0.580379
295 0.836398
296 0.709879
297 0.921737
298 0.644019
299 0.739354
300 0.714829
301 0.613753
302 0.690468
303 0.681948
304 0.57311
305 0.878949
306 0.588445
307 0.833686
308 0.730494
309 0.714882
310 0.641547
311 0.590541
312 0.815909
313 0.670558
314 0.580071
315 0.674853
316 0.890971
317 0.821061
318 0.861107
319 0.787215
320 0.628749
321 0.664109
322 0.722405
323 0.75414
324 0.698843
325 0.634926
326 0.740422
327 0.659354
328 0.605817
329 0.816258
330 0.749315
331 0.860258
332 0.980141
333 0.770327
334 0.634246
335 0.610919
336 1.22029
337 0.808206
338 0.727104
339 0.633492
340 0.653321
341 0.671166
342 0.797921
343 0.763771
344 0.83589
345 0.734226
346 0.616245
347 1.05762
348 0.800039
349 0.760916
350 0.669946
351 0.760721
352 0.630694
353 0.608168
354 0.762694
355 0.871695
356 0.63804
357 0.982484
358 0.611487
359 1.73919
360 0.919293
361 1.16541
362 1.05948
363 0.680546
364 0.747769
365 0.962732
366 0.687584
367 0.59165
368 0.593443
369 0.828788
370 0.88052
371 0.566855
372 0.893083
373 0.890564
374 0.656582
375 0.626094
376 0.595214
377 0.714606
378 0.742326
379 0.873277
380 0.818489
381 0.566792
382 0.718848
383 0.775215
384 0.734437
385 0.738525
386 0.828326
387 0.714652
388 0.794841
389 0.736049
390 0.550941
391 1.00937
392 0.878679
393 0.620238
394 0.72847
395 0.799813
396 0.810042
397 0.591103
398 0.96996
399 0.634143
400 0.698816
401 0.676414
402 0.679964
403 0.701257
404 0.777811
405 0.722161
406 0.612871
407 0.619025
408 0.643714
409 1.05665
410 0.619653
411 1.20787
412 0.870529
413 0.637757
414 0.561443
415 0.647371
416 0.651972
417 0.731278
418 0.715507
419 0.802951
420 0.711836
421 0.674445
422 0.708827
423 0.696936
424 0.538266
425 0.900213
426 1.02841
427 0.927011
428 0.818728
429 0.595417
430 0.806985
431 0.608791
432 0.626813
433 0.499643
434 0.889306
435 0.757317
436 0.576026
437 0.702729
438 0.758739
439 0.907358
440 0.831389
441 0.899829
442 0.725717
443 0.645442
444 0.472389
445 1.09028
446 0.691793
447 0.75896
448 0.539751
449 0.819737
450 1.10328
451 0.781701
452 0.660501
453 0.687304
454 0.603879
455 0.637416
456 0.790872
457 0.696643
458 0.845659
459 0.754693
460 0.542771
461 0.695247
462 0.76599
463 0.583928
464 0.644825
465 0.684891
466 0.915599
467 0.831521
468 0.676243
469 0.888266
470 0.563716
471 0.695185
472 0.81676
473 1.28344
474 0.579929
475 0.778374
476 0.592645
477 0.737078
478 0.784223
479 1.26786
480 0.915758
481 0.489207
482 0.725846
483 0.695625
484 0.998029
485 0.70821
486 0.57008
487 0.839389
488 1.10033
489 0.551056
490 0.604196
491 0.534746
492 0.68526
493 1.08807
494 0.730293
495 0.95312
496 0.75812
497 0.555866
498 0.75638
499 0.70043
500 0.739924
501 0.936594
502 0.491945
503 0.852151
504 0.824092
505 0.75395
506 0.557864
507 0.552142
508 0.717558
509 0.708347
510 0.955811
511 1.0356
512 0.535862
513 0.648882
514 0.771306
515 0.876864
516 1.22384
517 0.794996
518 1.22388
519 0.836609
520 0.696902
521 0.742133
522 0.466956
523 0.652943
524 0.895212
525 0.717036
526 0.589371
527 0.871089
528 0.855328
529 0.846287
530 0.51219
531 0.511691
532 0.535378
533 0.69937
534 0.845124
535 0.658545
536 0.783476
537 0.789798
538 0.885327
539 1.22607
540 0.646529
541 0.598096
542 0.937562
543 0.745921
544 0.695138
545 0.758847
546 0.789815
547 0.745416
548 0.840128
549 0.674601
550 0.701711
551 0.918076
552 0.748048
553 0.993825
554 0.629314
555 0.75003
556 0.505463
557 0.815698
558 0.720946
559 0.566683
560 0.57957
561 0.536658
562 0.813962
563 0.697795
564 0.567829
565 0.766099
566 1.64168
567 0.634183
568 0.676099
569 0.672853
570 0.516446
571 1.03307
572 0.679072
573 0.697777
574 0.652015
575 0.710319
576 0.626624
577 0.752633
578 0.583927
579 0.797258
580 0.779735
581 1.16846
582 0.704397
583 0.815782
584 0.601345
585 0.898514
586 0.551276
587 0.771748
588 0.666121
589 0.792373
590 0.676457
591 0.690789
592 0.755316
593 0.631295
594 0.895999
595 0.761535
596 0.643765
597 0.605116
598 0.711795
599 1.00823
600 0.739538
601 0.91779
602 0.954568
603 0.741794
604 0.79787
605 0.990208
606 0.717159
607 0.740832
608 0.654587
609 0.826042
610 0.7936
611 0.5681
612 0.691465
613 0.689307
614 1.52052
615 1.16427
616 0.675301
617 1.71474
618 1.48827
619 0.58747
620 0.61017
621 0.564222
622 0.639957
623 0.591366
624 0.604346
625 0.67521
626 0.809884
627 0.472303
628 0.948812
629 0.647107
630 0.642573
631 0.512391
632 0.526186
633 0.554472
634 0.521295
635 0.547793
636 0.640154
637 0.636509
638 0.960911
639 0.852468
640 0.690879
641 0.7686
642 0.789301
643 0.738321
644 0.676782
645 0.793217
646 0.668622
647 0.598826
648 0.554044
649 0.707961
650 0.839241
651 0.698176
652 0.820167
653 0.717201
654 0.863222
655 0.637131
656 0.784785
657 0.72294
658 0.872008
659 0.661099
660 0.564815
661 0.757426
662 0.629571
663 0.806579
664 0.74129
665 0.852741
666 1.15778
667 0.610455
668 0.500209
669 1.28773
670 0.953487
671 0.785144
672 0.661255
673 0.577027
674 0.714431
675 0.778085
676 0.660847
677 0.726622
678 0.779266
679 0.744626
680 0.68976
681 0.621313
682 0.71753
683 0.83877
684 1.08866
685 0.806714
686 0.762771
687 0.919286
688 0.74819
689 0.57645
690 0.845563
691 0.766036
692 0.811819
693 0.656777
694 0.762191
695 0.538593
696 1.05385
697 0.995244
698 0.624897
699 0.916055
700 1.00497
701 1.09924
702 0.573682
703 0.917826
704 0.967204
705 0.776561
706 0.893024
707 0.687446
708 1.85535
709 0.564148
710 0.636873
711 0.646737
712 0.899341
713 0.577148
714 0.712334
715 0.825547
716 0.580425
717 1.5688
718 1.19368
719 0.732822
720 0.581423
721 0.595722
722 0.822951
723 0.700415
724 0.947764
725 0.524979
726 1.89519
727 0.67365
728 0.593341
729 0.69899
730 0.738616
731 0.769166
732 0.647028
733 0.905023
734 0.974994
735 0.90911
736 0.931002
737 0.688333
738 0.781934
739 0.912372
740 0.946611
741 1.05672
742 0.669225
743 0.72069
744 0.744331
745 0.669091
746 0.752336
747 0.779877
748 0.976197
749 1.31542
750 0.819412
751 0.520577
752 0.599815
753 0.694984
754 0.540232
755 1.49334
756 1.3205
757 1.14381
758 0.988907
759 1.01612
760 0.680053
761 0.608451
762 0.562374
763 0.900876
764 0.640254
765 0.820781
766 1.15795
767 0.697841
768 0.776184
769 1.72755
770 0.608295
771 0.708519
772 0.683283
773 0.689991
774 0.597821
775 0.591014
776 0.463027
777 0.69517
778 0.491721
779 0.770968
780 0.558919
781 1.56896
782 0.769991
783 0.923777
784 0.966692
785 0.993628
786 0.798498
787 0.75475
788 0.899414
789 0.486083
790 0.565507
791 0.657508
792 0.990096
793 0.668013
794 0.908094
795 0.850318
796 0.751757
797 0.68162
798 0.620323
799 0.807126
800 0.807631
801 0.598735
802 0.515773
803 0.968941
804 0.543621
805 1.1976
806 0.719984
807 0.98819
808 0.569143
809 0.57734
810 0.655872
811 0.895049
812 0.60861
813 0.587019
814 0.771692
815 0.612914
816 0.892994
817 0.540553
818 0.645944
819 0.441522
820 0.463718
821 0.691042
822 0.629019
823 0.780609
824 0.654257
825 0.549884
826 1.36691
827 0.939465
828 0.465706
829 0.724838
830 0.67186
831 0.86876
832 1.5316
833 0.673271
834 0.49717
835 0.781662
836 1.15241
837 0.941409
838 0.860626
839 1.21136
840 0.71747
841 0.57858
842 0.834339
843 0.768024
844 0.493815
845 0.569158
846 0.752836
847 0.540003
848 1.04098
849 0.602938
850 0.851488
851 0.667425
852 0.561262
853 0.579711
854 0.699129
855 0.698198
856 0.496197
857 0.589291
858 0.479951
859 0.881185
860 0.888185
861 0.705704
862 1.24991
863 0.637506
864 0.933315
865 1.3811
866 0.646053
867 0.625033
868 0.705808
869 0.821187
870 0.895997
871 0.639486
872 0.75554
873 0.583489
874 1.41572
875 0.598826
876 0.788722
877 0.899239
878 0.847757
879 2.04571
880 0.54994
881 1.21841
882 0.619519
883 0.599991
884 0.971792
885 0.584224
886 0.659535
887 0.773483
888 0.490615
889 0.859067
890 0.581922
891 0.557386
892 1.52733
893 0.697619
894 1.43035
895 0.546876
896 1.08732
897 0.861136
898 0.654111
899 0.790448
900 0.926131
901 0.592772
902 0.753179
903 0.604718
904 1.32682
905 0.784741
906 0.569464
907 0.786843
908 0.728411
909 0.761751
910 0.743848
911 0.548087
912 0.771515
913 0.829923
914 0.497636
915 0.772646
916 0.815687
917 0.487851
918 0.586838
919 0.67444
920 0.631591
921 0.66162
922 0.660315
923 0.769501
924 0.814334
925 0.914345
926 0.89358
927 0.787798
928 0.609678
929 0.762634
930 0.735413
931 0.593841
932 0.734844
933 1.79638
934 0.881471
935 0.828035
936 0.74548
937 0.695286
938 0.968479
939 0.540046
940 0.970192
941 0.575524
942 0.686144
943 0.924028
944 0.792811
945 0.544286
946 0.82969
947 0.886393
948 0.770473
949 0.744111
950 0.769269
951 0.867746
952 0.5507
953 0.826807
954 0.799864
955 0.532257
956 0.620529
957 0.670072
958 0.871058
959 0.598828
960 0.615551
961 0.786712
962 0.764493
963 0.600822
964 0.72048
965 0.991797
966 0.893635
967 0.702012
968 0.832839
969 0.908133
970 0.541254
971 0.633605
972 0.577539
973 0.668735
974 0.659432
975 0.523829
976 0.745869
977 0.966463
978 1.16323
979 0.516968
980 0.901601
981 1.35729
982 0.708147
983 0.817924
984 0.770087
985 0.823235
986 0.574325
987 0.631106
988 0.745357
989 0.634926
990 0.522328
991 0.994428
992 0.514898
993 0.962952
994 0.591181
995 0.592078
996 0.610555
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1600 1.19403
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1800 0.497269
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1900 0.954963
1901 1.21336
1902 0.58612
1903 0.778572
1904 1.22289
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1906 0.705879
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1908 0.680459
1909 0.597169
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1912 0.653666
1913 1.08844
1914 1.1457
1915 0.704589
1916 0.637884
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1918 0.66015
1919 0.847946
1920 0.693584
1921 0.924932
1922 0.586179
1923 0.527008
1924 0.808996
1925 0.56668
1926 0.626615
1927 2.01368
1928 0.617602
1929 1.25544
1930 0.821153
1931 0.752862
1932 0.596888
1933 0.570869
1934 0.483525
1935 0.691771
1936 0.626279
1937 0.607571
1938 0.682121
1939 0.672961
1940 1.09267
1941 1.64594
1942 0.607011
1943 0.551713
1944 0.675254
1945 1.83365
1946 0.550428
1947 0.539415
1948 0.459995
1949 0.63184
1950 0.806173
1951 1.62314
1952 0.687159
1953 1.19735
1954 0.567474
1955 0.557816
1956 0.667582
1957 0.92204
1958 0.597531
1959 0.747557
1960 0.722126
1961 0.496277
1962 0.582077
1963 0.621796
1964 0.691866
1965 0.601528
1966 0.890661
1967 0.805541
1968 0.6564
1969 0.902004
1970 0.718206
1971 0.848809
1972 0.806554
1973 0.527287
1974 0.661327
1975 0.414137
1976 0.872529
1977 0.704802
1978 0.531255
1979 0.83029
1980 1.13871
1981 0.948818
1982 1.38472
1983 0.584787
1984 0.758934
1985 0.716505
1986 0.704833
1987 0.784209
1988 0.761304
1989 0.714454
1990 0.624114
1991 0.584125
1992 1.03292
1993 1.05612
1994 0.866229
1995 0.688084
1996 0.707668
1997 0.404654
1998 0.922391
1999 0.841166
2000 0.892584
2001 1.27616
2002 0.751423
2003 0.728049
2004 0.651714
2005 0.605834
2006 0.459122
2007 0.663172
2008 0.732842
2009 0.721319
2010 0.863327
2011 0.851751
2012 0.646695
2013 0.662631
2014 0.594422
2015 0.587247
2016 0.589484
2017 0.664235
2018 0.591709
2019 0.515655
2020 0.691479
2021 0.637419
2022 0.615282
2023 0.720306
2024 0.73497
2025 0.500627
2026 0.62202
2027 0.661962
2028 0.527125
2029 1.14833
2030 0.640401
2031 0.962991
2032 0.890138
2033 0.794857
2034 0.736284
2035 0.837286
2036 0.573178
2037 0.76828
2038 0.729101
2039 0.561134
2040 0.506361
2041 0.712117
2042 0.653908
2043 0.530834
2044 0.576854
2045 0.599838
2046 0.613136
2047 0.544288
2048 0.60453
2049 0.68294
2050 0.477256
2051 0.646037
2052 0.746334
2053 0.822304
2054 0.696603
2055 0.484134
2056 1.08469
2057 2.10383
2058 2.08938
2059 0.70864
2060 0.894926
2061 0.674325
2062 1.92698
2063 0.667231
2064 0.754455
2065 0.93747
2066 0.717471
2067 0.751331
2068 0.666381
2069 1.16532
2070 0.704326
2071 0.576285
2072 0.659914
2073 0.596421
2074 0.788645
2075 1.13397
2076 0.591165
2077 0.477641
2078 0.58247
2079 0.959501
2080 0.654962
2081 0.691432
2082 0.567152
2083 0.806651
2084 0.614699
2085 0.709462
2086 0.71445
2087 0.49727
2088 0.70196
2089 0.598394
2090 0.678459
2091 1.72858
2092 0.589486
2093 1.11065
2094 0.808903
2095 0.615496
2096 0.560842
2097 0.808296
2098 0.490071
2099 0.531792
2100 0.753982
2101 0.632739
2102 0.617889
2103 0.652017
2104 0.587791
2105 0.492668
2106 0.550794
2107 0.506594
2108 0.722338
2109 0.572088
2110 0.801798
2111 0.560681
2112 0.592325
2113 0.806393
2114 0.608833
2115 0.89464
2116 0.595972
2117 1.19961
2118 0.673217
2119 0.554835
2120 0.48781
2121 0.510628
2122 0.977757
2123 0.696513
2124 0.708855
2125 0.541024
2126 0.748852
2127 0.600312
2128 0.561349
2129 0.517242
2130 0.683795
2131 0.633922
2132 0.639623
2133 0.781395
2134 0.605384
2135 0.618728
2136 0.589813
2137 0.623652
2138 1.32866
2139 0.824855
2140 0.512416
2141 0.953939
2142 0.839666
2143 1.35741
2144 0.912443
2145 1.55191
2146 0.69024
2147 0.838665
2148 0.76432
2149 0.548513
2150 0.688299
2151 0.687203
2152 0.623038
2153 0.487089
2154 0.57901
2155 1.04127
2156 0.634326
2157 0.57649
2158 0.803244
2159 0.634219
2160 0.509882
2161 0.713922
2162 0.698431
2163 0.840667
2164 0.956621
2165 0.804457
2166 1.07384
2167 1.20194
2168 0.771689
2169 0.744959
2170 1.05021
2171 0.773911
2172 0.583083
2173 0.542305
2174 0.55011
2175 0.704691
2176 0.578136
2177 0.598253
2178 0.943061
2179 0.615463
2180 0.864414
2181 1.13192
2182 0.747064
2183 0.846555
2184 0.546276
2185 0.90947
2186 0.739778
2187 0.646576
2188 0.903293
2189 0.75936
2190 0.739051
2191 0.773415
2192 0.857159
2193 1.07492
2194 0.483598
2195 0.824897
2196 0.956019
2197 0.543201
2198 0.652768
2199 0.667617
2200 0.819423
2201 0.870014
2202 1.33583
2203 0.988035
2204 1.07923
2205 0.970368
2206 0.790869
2207 0.640608
2208 0.530998
2209 0.620912
2210 0.70588
2211 1.03843
2212 0.842399
2213 0.632409
2214 0.635834
2215 1.39917
2216 1.23319
2217 0.637423
2218 0.854729
2219 0.694752
2220 0.612785
2221 0.628395
2222 0.628497
2223 0.868521
2224 0.714759
2225 0.595983
2226 0.56015
2227 0.810544
2228 0.804285
2229 0.557908
2230 0.712458
2231 0.668554
2232 1.98144
2233 0.700431
2234 0.600363
2235 0.430033
2236 0.628472
2237 0.759154
2238 0.659087
2239 0.792326
2240 0.685824
2241 1.23724
2242 0.731344
2243 1.05501
2244 1.06567
2245 0.647709
2246 0.81308
2247 0.549452
2248 0.489678
2249 1.0147
2250 0.909656
2251 1.11849
2252 1.0682
2253 0.807878
2254 0.705994
2255 1.13605
2256 0.548976
2257 0.700202
2258 0.683899
2259 1.09222
2260 0.643884
2261 0.854956
2262 0.596901
2263 1.37745
2264 0.627056
2265 1.13534
2266 0.535034
2267 0.768963
2268 0.947193
2269 0.611736
2270 0.712184
2271 0.770892
2272 0.609381
2273 1.12419
2274 0.909131
2275 1.26056
2276 0.980447
2277 1.06805
2278 0.721663
2279 1.14025
2280 1.16291
2281 0.810714
2282 0.574932
2283 0.642595
2284 0.551418
2285 0.814394
2286 0.671545
2287 0.92045
2288 0.651045
2289 1.02241
2290 0.661542
2291 0.799334
2292 0.646642
2293 0.569538
2294 0.723223
2295 1.23225
2296 0.944859
2297 0.655644
2298 0.748621
2299 1.63801
2300 0.808803
2301 0.501387
2302 0.809635
2303 0.603444
2304 0.641838
2305 1.12423
2306 0.607471
2307 0.788305
2308 0.719892
2309 0.802905
2310 1.11631
2311 0.658991
2312 0.581235
2313 1.87932
2314 0.682368
2315 0.709317
2316 1.1898
2317 0.822986
2318 0.673074
2319 1.05041
2320 1.02978
2321 0.603186
2322 1.37592
2323 1.07374
2324 1.84739
2325 0.929975
2326 0.795721
2327 0.65678
2328 0.769573
2329 0.918849
2330 0.845918
2331 0.550192
2332 1.19656
2333 0.697652
2334 0.768787
2335 0.800676
2336 0.742398
2337 0.915684
2338 0.551944
2339 0.584341
2340 0.505268
2341 0.538424
2342 0.580589
2343 0.526855
2344 0.821131
2345 0.550275
2346 0.793514
2347 0.81489
2348 0.732434
2349 1.08669
2350 0.587512
2351 0.787916
2352 0.58366
2353 0.627977
2354 0.845072
2355 0.787055
2356 0.536628
2357 0.607346
2358 0.732388
2359 0.951088
2360 1.25772
2361 0.533674
2362 2.17715
2363 0.782825
2364 0.545238
2365 0.671002
2366 1.15732
2367 0.630144
2368 0.615026
2369 1.0097
2370 0.535959
2371 0.632661
2372 0.533348
2373 0.723873
2374 0.592258
2375 1.55089
2376 0.628185
2377 0.630722
2378 0.620712
2379 0.672562
2380 0.800237
2381 0.772706
2382 0.878764
2383 0.691627
2384 0.59941
2385 0.703524
2386 0.819987
2387 0.597552
2388 0.659277
2389 0.914078
2390 0.647532
2391 1.00612
2392 1.16185
2393 0.591254
2394 1.02282
2395 1.76521
2396 0.6143
2397 0.612421
2398 0.722757
2399 0.816368
2400 1.15073
2401 0.665469
2402 0.647731
2403 0.723802
2404 0.57683
2405 0.534417
2406 0.854421
2407 1.40638
2408 0.709652
2409 0.877341
2410 0.894377
2411 0.940753
2412 0.919022
2413 0.716883
2414 0.604266
2415 0.67674
2416 1.10922
2417 0.732391
2418 0.71513
2419 0.940754
2420 0.591904
2421 0.406502
2422 0.801461
2423 0.610627
2424 1.95872
2425 0.542463
2426 0.482725
2427 0.663492
2428 0.631255
2429 0.585539
2430 0.682434
2431 0.834182
2432 0.687911
2433 0.625718
2434 0.599994
2435 0.764693
2436 0.706406
2437 0.604629
2438 0.709509
2439 0.497349
2440 0.64767
2441 1.02991
2442 0.530586
2443 0.643294
2444 0.620769
2445 0.824305
2446 0.851878
2447 0.846776
2448 0.782107
2449 0.696494
2450 1.00211
2451 0.648085
2452 1.20431
2453 0.779291
2454 0.619143
2455 0.770046
2456 0.621796
2457 0.887236
2458 0.63972
2459 0.714226
2460 0.693144
2461 0.785755
2462 0.76145
2463 0.766049
2464 0.64483
2465 0.740929
2466 0.668983
2467 1.00606
2468 1.36933
2469 1.081
2470 0.794193
2471 0.788869
2472 0.904031
2473 0.780875
2474 0.860099
2475 0.691228
2476 0.898402
2477 0.691478
2478 0.729313
2479 0.898367
2480 0.830578
2481 0.594461
2482 1.11453
2483 0.823929
2484 0.489349
2485 0.699162
2486 0.774804
2487 0.924694
2488 0.63936
2489 0.652606
2490 0.691394
2491 0.790944
2492 0.80537
2493 1.23775
2494 0.960092
2495 0.644833
2496 0.501397
2497 1.01652
2498 0.92985
2499 0.493466
2500 0.551633
2501 0.698142
2502 0.915649
2503 0.822905
2504 2.04393
2505 0.597071
2506 0.732398
2507 0.552453
2508 1.8666
2509 0.606447
2510 0.917401
2511 1.00878
2512 0.6876
2513 0.608104
2514 0.700705
2515 0.581183
2516 0.451494
2517 0.655706
2518 1.51514
2519 0.848439
2520 0.763805
2521 0.584514
2522 0.586398
2523 0.564901
2524 1.80187
2525 0.578629
2526 0.863914
2527 0.662445
2528 0.711041
2529 0.548568
2530 1.47065
2531 1.6786
2532 0.812774
2533 0.921962
2534 0.78008
2535 0.525421
2536 0.579021
2537 0.697684
2538 0.603966
2539 0.86481
2540 0.920292
2541 0.523166
2542 0.699583
2543 0.760371
2544 0.90384
2545 0.665868
2546 0.658331
2547 0.605643
2548 1.10338
2549 0.560815
2550 0.595389
2551 0.968791
2552 1.71762
2553 0.722362
2554 0.863106
2555 1.7175
2556 0.80267
2557 0.526935
2558 1.36432
2559 0.954304
2560 0.689562
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2563 0.540159
2564 0.893555
2565 0.888494
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2567 0.700307
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2570 1.38594
2571 0.853446
2572 0.978337
2573 0.669403
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2576 1.01421
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2579 0.727399
2580 0.649
2581 0.871964
2582 0.587187
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2585 0.499044
2586 0.888174
2587 0.793015
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2591 0.998181
2592 0.564284
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2594 0.655973
2595 0.885759
2596 0.58812
2597 0.714629
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2599 0.652696
2600 0.691437
2601 0.532895
2602 0.88011
2603 1.09476
2604 0.663253
2605 0.81975
2606 0.78502
2607 0.979424
2608 0.866951
2609 0.815963
2610 0.942342
2611 0.653829
2612 0.771446
2613 0.619899
2614 0.644916
2615 0.729149
2616 0.767102
2617 0.813401
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2620 0.966859
2621 0.488655
2622 0.605511
2623 0.780852
2624 0.515543
2625 0.828108
2626 0.822447
2627 0.977684
2628 0.781134
2629 0.787452
2630 0.707328
2631 0.755129
2632 0.783223
2633 1.59292
2634 0.703362
2635 1.33491
2636 0.530753
2637 0.628477
2638 2.11946
2639 1.19272
2640 2.06684
2641 0.707572
2642 0.696906
2643 0.696486
2644 0.608056
2645 0.863037
2646 0.612581
2647 0.759663
2648 0.758078
2649 0.617533
2650 1.06692
2651 0.724444
2652 1.43775
2653 1.15025
2654 1.42696
2655 0.828307
2656 1.10294
2657 0.906254
2658 0.737736
2659 0.872291
2660 0.744301
2661 0.598179
2662 1.0672
2663 0.655475
2664 0.90094
2665 1.08141
2666 1.67554
2667 1.00487
2668 0.988943
2669 0.558151
2670 1.06763
2671 0.674394
2672 1.02817
2673 0.539222
2674 1.08295
2675 0.850045
2676 1.04421
2677 0.851308
2678 0.56624
2679 0.543692
2680 1.16165
2681 0.705699
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2683 0.931123
2684 0.680284
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2686 1.51755
2687 0.583015
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2691 0.605851
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2693 1.15649
2694 0.908785
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2700 0.663695
2701 0.606333
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2703 1.15973
2704 0.618068
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2706 0.650154
2707 0.940351
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2712 0.822271
2713 0.644242
2714 1.21683
2715 1.27177
2716 0.781829
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2718 0.944399
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2720 0.959038
2721 0.780097
2722 0.784238
2723 0.770296
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2725 0.636511
2726 0.853101
2727 0.494543
2728 0.822242
2729 0.707158
2730 0.664753
2731 0.596699
2732 0.863006
2733 0.582122
2734 1.01497
2735 0.738651
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2800 1.31928
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19249 0.635929
19250 0.511761
19251 0.821457
19252 0.64917
19253 0.551503
19254 0.599202
19255 0.83992
19256 0.785366
19257 0.754256
19258 0.592008
19259 0.627827
19260 0.710471
19261 0.63089
19262 0.71068
19263 0.644165
19264 0.702127
19265 0.685105
19266 1.14917
19267 0.585073
19268 0.936533
19269 1.4665
19270 0.625816
19271 0.52012
19272 0.624669
19273 0.660173
19274 0.469006
19275 0.672481
19276 0.767774
19277 0.834442
19278 0.604784
19279 0.613411
19280 0.763523
19281 0.764086
19282 0.553726
19283 0.572625
19284 0.783274
19285 0.578134
19286 0.566248
19287 0.672686
19288 0.517372
19289 0.606098
19290 0.719697
19291 0.651591
19292 0.673673
19293 0.475565
19294 0.797658
19295 0.781681
19296 0.616862
19297 0.819461
19298 1.31036
19299 0.749296
19300 0.796224
19301 0.595817
19302 0.942966
19303 0.765808
19304 0.918844
19305 0.502303
19306 0.799272
19307 0.547658
19308 0.42267
19309 0.519103
19310 0.914174
19311 0.502718
19312 0.545209
19313 0.874838
19314 0.496845
19315 0.71528
19316 1.53121
19317 0.595289
19318 0.503231
19319 0.54078
19320 0.550436
19321 0.505048
19322 0.591873
19323 0.792848
19324 0.771474
19325 0.661581
19326 0.70849
19327 0.950959
19328 0.724751
19329 0.724288
19330 0.69592
19331 0.647528
19332 0.481447
19333 0.426003
19334 0.488689
19335 0.721321
19336 0.851033
19337 0.456614
19338 0.737329
19339 0.521504
19340 0.561749
19341 0.663472
19342 0.609298
19343 0.625123
19344 0.532661
19345 0.871753
19346 0.481518
19347 0.593579
19348 0.923154
19349 0.56434
19350 0.465082
19351 0.616155
19352 0.469307
19353 0.75519
19354 0.813374
19355 0.515888
19356 0.568462
19357 0.769091
19358 0.482325
19359 0.504745
19360 0.863721
19361 0.672267
19362 0.66978
19363 0.628194
19364 0.749078
19365 0.717922
19366 0.59178
19367 1.01777
19368 0.819612
19369 0.612878
19370 0.585399
19371 0.878091
19372 0.596383
19373 0.595005
19374 0.62763
19375 0.58191
19376 0.806316
19377 0.61088
19378 0.743718
19379 0.708541
19380 0.5757
19381 0.588728
19382 0.722874
19383 0.707814
19384 0.811151
19385 0.681299
19386 0.567599
19387 0.624653
19388 1.47328
19389 0.705568
19390 0.698568
19391 0.664283
19392 1.03065
19393 1.00928
19394 0.667608
19395 0.749965
19396 0.596374
19397 0.578973
19398 0.600249
19399 1.13507
19400 0.968881
19401 0.59135
19402 0.409257
19403 0.696536
19404 0.840358
19405 0.639601
19406 0.999715
19407 0.637264
19408 0.701865
19409 0.599013
19410 0.850401
19411 0.626051
19412 0.635402
19413 0.50805
19414 0.666113
19415 0.522067
19416 0.580096
19417 0.76596
19418 0.736584
19419 0.857751
19420 0.550568
19421 0.793236
19422 0.85806
19423 0.714528
19424 0.735349
19425 0.606187
19426 0.730969
19427 0.742264
19428 0.598396
19429 0.700721
19430 0.749275
19431 0.677729
19432 0.934402
19433 0.863647
19434 0.564612
19435 0.52929
19436 0.558748
19437 0.748701
19438 0.797628
19439 0.630886
19440 0.985352
19441 0.86017
19442 0.635806
19443 0.721728
19444 0.58484
19445 0.608812
19446 0.658026
19447 0.761017
19448 0.86266
19449 1.12073
19450 0.901262
19451 0.569192
19452 0.776609
19453 0.70974
19454 0.513953
19455 0.752104
19456 0.588987
19457 0.731037
19458 0.821588
19459 1.07658
19460 1.03486
19461 0.844186
19462 0.531076
19463 0.533607
19464 0.530393
19465 0.868587
19466 0.64761
19467 0.801208
19468 0.76623
19469 0.702089
19470 0.746497
19471 0.488992
19472 0.808745
19473 0.662879
19474 0.57675
19475 0.623872
19476 0.5284
19477 0.72764
19478 0.651756
19479 0.824877
19480 0.509899
19481 0.469808
19482 0.623059
19483 1.19313
19484 0.758214
19485 0.851272
19486 0.761962
19487 0.762105
19488 0.879079
19489 0.721482
19490 0.739003
19491 0.758437
19492 0.686781
19493 0.643934
19494 0.751027
19495 0.930167
19496 0.854617
19497 0.631634
19498 0.80393
19499 0.676694
19500 1.80192
19501 0.835759
19502 0.755256
19503 0.530037
19504 2.04885
19505 0.633705
19506 0.526813
19507 1.39382
19508 0.561906
19509 1.46279
19510 0.776773
19511 0.772439
19512 0.611284
19513 0.658982
19514 0.547461
19515 0.703159
19516 0.627088
19517 0.621262
19518 0.627292
19519 0.673937
19520 0.658732
19521 1.82001
19522 0.848705
19523 0.824542
19524 0.797137
19525 0.748355
19526 0.698426
19527 0.701515
19528 0.581665
19529 0.730716
19530 0.596389
19531 0.634817
19532 1.35184
19533 0.539921
19534 0.646178
19535 0.585668
19536 1.5782
19537 0.506512
19538 0.428797
19539 0.650639
19540 0.705603
19541 0.527023
19542 0.695309
19543 0.628552
19544 0.573107
19545 0.7185
19546 0.785786
19547 0.730022
19548 0.706775
19549 1.96318
19550 0.607443
19551 0.597352
19552 0.516798
19553 0.713999
19554 0.767607
19555 0.474941
19556 0.671717
19557 0.571916
19558 0.994539
19559 0.650453
19560 0.593756
19561 0.874735
19562 0.603631
19563 0.599192
19564 0.933468
19565 0.692701
19566 0.594361
19567 0.630696
19568 0.687367
19569 0.579495
19570 0.64544
19571 0.500229
19572 1.05743
19573 0.548194
19574 0.696889
19575 0.753886
19576 0.671557
19577 0.62228
19578 0.646066
19579 0.672169
19580 0.530027
19581 0.557436
19582 0.559703
19583 0.575607
19584 0.593656
19585 0.680375
19586 0.794601
19587 0.711952
19588 0.844909
19589 0.709628
19590 0.706878
19591 1.33664
19592 0.608942
19593 0.712308
19594 0.811928
19595 0.650654
19596 0.596862
19597 0.517136
19598 0.514947
19599 0.63367
19600 0.571746
19601 0.653469
19602 0.983384
19603 0.656946
19604 0.71232
19605 1.08569
19606 0.751402
19607 0.614203
19608 0.456065
19609 0.718444
19610 0.598463
19611 0.776578
19612 0.540023
19613 0.602937
19614 0.573875
19615 0.606238
19616 1.1496
19617 0.733224
19618 0.804238
19619 0.608395
19620 0.872621
19621 1.06767
19622 0.708214
19623 0.507069
19624 0.56272
19625 1.00134
19626 0.500032
19627 0.730863
19628 0.571671
19629 0.604773
19630 0.873362
19631 0.613029
19632 0.469972
19633 0.544852
19634 0.669283
19635 0.684434
19636 0.696537
19637 0.578548
19638 0.548806
19639 0.637517
19640 0.601401
19641 0.745773
19642 0.754266
19643 0.631262
19644 0.61284
19645 0.635092
19646 0.651017
19647 0.634956
19648 0.554463
19649 0.543103
19650 0.562644
19651 0.496335
19652 0.65959
19653 0.782262
19654 0.786224
19655 0.89168
19656 0.587136
19657 0.912353
19658 0.813599
19659 0.647234
19660 0.795368
19661 0.616625
19662 0.551988
19663 0.571931
19664 0.60004
19665 0.651625
19666 0.720966
19667 0.757143
19668 0.604386
19669 0.529165
19670 0.658463
19671 0.687051
19672 0.498915
19673 0.465082
19674 1.0072
19675 1.07191
19676 0.946573
19677 0.707527
19678 1.51531
19679 0.654785
19680 0.70638
19681 0.586521
19682 0.631395
19683 0.817703
19684 0.556182
19685 0.564016
19686 0.545517
19687 0.580854
19688 0.808244
19689 0.566958
19690 0.534505
19691 0.752543
19692 0.641734
19693 0.890531
19694 0.611008
19695 0.552132
19696 0.572477
19697 0.618617
19698 0.542643
19699 0.594169
19700 0.780233
19701 0.687009
19702 0.805548
19703 0.65832
19704 0.610944
19705 0.688904
19706 0.74584
19707 0.557672
19708 0.638273
19709 0.510645
19710 0.477016
19711 0.709806
19712 0.603248
19713 0.77748
19714 0.497186
19715 0.693874
19716 0.5542
19717 0.698806
19718 0.666384
19719 0.736779
19720 0.724935
19721 0.649004
19722 0.599254
19723 0.826189
19724 0.679597
19725 1.02958
19726 0.740793
19727 0.620875
19728 0.531482
19729 0.654949
19730 0.616228
19731 0.631689
19732 0.63132
19733 0.621582
19734 0.613285
19735 0.594165
19736 1.38523
19737 0.649004
19738 0.65554
19739 0.801388
19740 0.714095
19741 0.739631
19742 1.21071
19743 0.691065
19744 0.67061
19745 1.10013
19746 0.499677
19747 0.767552
19748 1.17449
19749 1.17445
19750 0.584131
19751 0.614641
19752 1.44932
19753 0.693483
19754 0.887846
19755 0.740829
19756 0.719872
19757 0.73259
19758 0.680257
19759 0.748562
19760 1.61746
19761 0.646608
19762 0.570013
19763 0.572344
19764 0.605194
19765 0.645372
19766 0.62619
19767 0.595822
19768 0.65822
19769 0.594396
19770 0.783926
19771 0.650046
19772 0.782582
19773 0.791047
19774 0.427345
19775 0.646785
19776 0.758102
19777 0.962985
19778 0.689686
19779 0.567974
19780 0.55229
19781 0.575398
19782 0.56363
19783 0.73805
19784 0.628855
19785 1.88143
19786 0.528536
19787 0.609699
19788 0.505241
19789 1.7295
19790 0.834357
19791 0.733513
19792 1.12609
19793 0.722522
19794 0.521449
19795 0.484416
19796 0.62647
19797 0.714121
19798 0.558713
19799 0.702901
19800 0.701329
19801 0.692548
19802 0.656952
19803 0.660636
19804 0.709428
19805 0.639708
19806 0.78609
19807 0.639324
19808 0.64217
19809 0.724804
19810 1.94021
19811 0.480221
19812 0.694025
19813 0.684205
19814 1.5083
19815 0.580383
19816 0.584995
19817 0.762075
19818 0.690317
19819 0.593809
19820 0.5646
19821 0.676377
19822 0.52867
19823 0.505955
19824 0.517595
19825 0.896459
19826 0.715987
19827 0.630879
19828 0.66754
19829 0.666642
19830 0.880372
19831 0.6738
19832 0.528623
19833 0.560154
19834 0.775231
19835 0.69906
19836 0.84719
19837 0.976816
19838 0.820159
19839 0.562071
19840 0.673534
19841 0.798646
19842 0.76493
19843 0.721721
19844 0.746075
19845 0.55713
19846 0.698047
19847 0.677245
19848 0.592551
19849 1.94879
19850 1.58674
19851 1.23578
19852 0.859385
19853 0.644354
19854 0.659009
19855 0.568021
19856 0.641913
19857 0.440516
19858 0.583818
19859 0.520636
19860 0.643408
19861 0.549358
19862 0.92326
19863 0.566194
19864 0.4584
19865 1.19558
19866 0.618375
19867 1.16405
19868 0.73833
19869 0.546963
19870 0.536195
19871 0.659234
19872 0.768405
19873 0.691952
19874 0.729128
19875 0.859919
19876 0.733208
19877 0.627711
19878 0.792313
19879 0.557092
19880 0.708872
19881 0.88718
19882 0.77508
19883 0.666577
19884 0.655199
19885 1.96859
19886 0.632899
19887 0.61062
19888 0.632803
19889 0.759057
19890 0.576019
19891 0.615862
19892 0.474505
19893 0.657447
19894 0.561355
19895 1.67061
19896 0.735377
19897 0.741804
19898 0.84288
19899 0.770564
19900 0.89902
19901 0.515301
19902 0.793997
19903 0.665616
19904 0.767927
19905 0.63621
19906 0.581331
19907 0.51147
19908 0.538536
19909 0.991655
19910 0.652802
19911 0.656503
19912 0.591447
19913 0.637234
19914 0.6463
19915 0.503744
19916 0.681091
19917 1.0314
19918 0.875489
19919 1.30401
19920 0.692207
19921 0.769835
19922 0.674348
19923 0.641335
19924 0.576148
19925 0.734474
19926 0.877114
19927 0.616594
19928 0.597126
19929 0.557672
19930 0.759495
19931 0.455753
19932 1.27583
19933 0.541177
19934 0.752478
19935 0.619863
19936 1.59111
19937 1.18353
19938 0.618866
19939 0.522165
19940 0.83536
19941 0.728907
19942 0.758877
19943 0.456571
19944 0.751185
19945 1.29795
19946 1.34932
19947 0.777455
19948 0.644485
19949 0.812722
19950 0.973469
19951 0.603074
19952 0.512783
19953 0.617133
19954 0.742473
19955 0.54961
19956 0.656388
19957 0.492121
19958 0.574749
19959 0.703602
19960 0.545179
19961 0.756438
19962 0.686416
19963 0.527383
19964 0.592837
19965 0.586032
19966 0.661288
19967 0.628491
19968 0.659641
19969 0.856924
19970 0.674833
19971 0.462115
19972 0.570744
19973 0.663461
19974 0.713373
19975 0.719478
19976 0.611216
19977 0.620712
19978 0.7358
19979 0.925723
19980 0.757032
19981 0.625997
19982 0.849168
19983 0.723351
19984 1.64619
19985 0.549539
19986 0.549014
19987 0.58138
19988 1.54807
19989 0.745323
19990 0.600597
19991 0.647005
19992 0.587695
19993 0.620572
19994 0.723424
19995 2.23884
19996 0.529449
19997 0.623764
19998 0.540713
19999 0.673001
20000 0.7718
20001 0.729773
20002 0.724783
20003 0.695079
20004 1.04675
20005 0.88266
20006 0.603185
20007 0.652727
20008 1.06285
20009 0.627601
20010 0.523878
20011 0.672658
20012 0.712196
20013 0.639601
20014 0.766576
20015 0.614714
20016 0.471539
20017 0.506869
20018 0.834573
20019 0.551874
20020 0.592169
20021 0.976835
20022 0.558264
20023 0.690655
20024 0.526063
20025 0.538505
20026 0.704825
20027 0.703982
20028 0.781049
20029 0.808234
20030 0.727622
20031 0.654476
20032 0.500338
20033 0.934967
20034 0.651342
20035 0.557823
20036 0.974897
20037 0.889806
20038 0.995214
20039 0.558951
20040 0.745547
20041 1.27658
20042 0.537906
20043 0.596659
20044 0.664583
20045 0.589127
20046 0.731736
20047 0.49517
20048 0.605905
20049 0.598749
20050 0.587814
20051 0.53537
20052 0.74095
20053 0.500423
20054 0.485778
20055 0.693572
20056 0.802659
20057 0.754775
20058 0.976653
20059 0.557322
20060 0.58154
20061 0.565522
20062 0.651676
20063 0.554377
20064 0.582545
20065 0.754826
20066 0.537441
20067 1.90819
20068 0.592586
20069 0.593214
20070 0.43188
20071 1.40444
20072 0.587185
20073 0.600136
20074 0.588559
20075 0.689994
20076 0.797228
20077 0.836889
20078 0.540953
20079 0.676683
20080 0.571613
20081 0.70941
20082 0.640323
20083 0.701072
20084 0.637784
20085 0.634473
20086 0.668355
20087 0.659866
20088 0.622346
20089 0.636952
20090 0.791372
20091 0.782769
20092 0.777154
20093 0.538819
20094 0.45611
20095 0.681988
20096 1.74193
20097 0.695799
20098 0.449577
20099 0.56512
20100 0.733652
20101 0.748428
20102 0.673245
20103 0.690315
20104 1.63256
20105 0.662121
20106 0.630539
20107 0.607083
20108 0.620523
20109 1.27807
20110 0.538649
20111 0.782016
20112 0.605755
20113 0.64818
20114 0.597235
20115 0.499291
20116 1.51332
20117 0.616522
20118 0.746663
20119 0.565372
20120 0.864407
20121 0.87855
20122 0.659616
20123 0.683401
20124 0.752551
20125 0.644336
20126 0.806692
20127 0.634973
20128 0.63625
20129 0.474689
20130 0.567815
20131 0.606278
20132 0.692031
20133 0.564129
20134 0.611047
20135 0.527381
20136 0.7747
20137 0.509416
20138 1.39738
20139 0.843492
20140 0.820944
20141 0.803957
20142 0.597667
20143 0.796897
20144 0.787318
20145 0.633282
20146 0.55483
20147 0.505564
20148 0.537934
20149 0.785828
20150 0.952465
20151 0.80253
20152 0.904329
20153 0.939466
20154 0.908983
20155 0.518723
20156 0.543003
20157 0.819959
20158 0.843179
20159 0.752621
20160 0.620145
20161 0.784547
20162 0.811753
20163 0.769953
20164 0.836423
20165 0.508151
20166 0.710999
20167 0.538796
20168 0.75125
20169 0.927521
20170 0.642029
20171 0.842081
20172 0.610357
20173 0.450904
20174 0.767393
20175 0.631141
20176 0.550024
20177 0.873775
20178 0.592611
20179 0.436333
20180 0.69976
20181 0.536652
20182 0.674854
20183 0.793985
20184 0.547565
20185 0.717931
20186 0.772653
20187 0.641723
20188 0.694159
20189 0.937936
20190 0.903634
20191 0.545223
20192 0.6929
20193 0.712038
20194 0.650212
20195 0.60179
20196 0.742044
20197 1.43905
20198 0.650749
20199 0.691372
20200 0.6607
20201 0.824102
20202 0.796309
20203 0.851004
20204 0.962471
20205 0.672544
20206 0.965609
20207 1.02513
20208 0.791898
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34605 0.895389
34606 0.862821
34607 0.571578
34608 0.589875
34609 0.901749
34610 0.48851
34611 0.527046
34612 1.13924
34613 0.641218
34614 1.5525
34615 0.714977
34616 0.921891
34617 0.620662
34618 0.46365
34619 0.611786
34620 0.548363
34621 0.917389
34622 0.97841
34623 0.486646
34624 0.596421
34625 1.00239
34626 0.639264
34627 0.660618
34628 0.656555
34629 0.836109
34630 0.758122
34631 0.561775
34632 1.02466
34633 0.649295
34634 0.812849
34635 0.578045
34636 0.50664
34637 1.19354
34638 1.36864
34639 0.782354
34640 1.32944
34641 0.853104
34642 1.05542
34643 1.0574
34644 0.563927
34645 0.775432
34646 0.633226
34647 0.741265
34648 0.649229
In [174]:
# Scale and visualize the embedding vectors
def plot_embedding(X, title=None):
x_min, x_max = np.min(X, 0), np.max(X, 0)
X = (X - x_min) / (x_max - x_min)
plt.figure(figsize=(6,6))
ax = plt.subplot(111)
for i in range(X.shape[0]):
lstype = 3
letter = ":".join(labels[rows[i]][0])
if len(labels[rows[i]][1]) == 1: continue
if all([l == "PROPER" for l in labels[rows[i]][1]]):
lstype = 1
if all([l == "PRONOMINAL" for l in labels[rows[i] ][1]]):
lstype = 2
if all([l == "NOMINAL" for l in labels[rows[i] ][1]]):
lstype = 3
if any([l == "PRONOMINAL" for l in labels[rows[i] ][1]]):
lstype = 2
elif any([l == "NOMINAL" for l in labels[rows[i]][1]]):
lstype = 3
plt.scatter(X[i, 0], X[i, 1],
#str("x"),
color=plt.cm.Set1((lstype -1) / 3))
#fontdict={'weight': 'bold', 'size': 9})
i += 1
if hasattr(offsetbox, 'AnnotationBbox'):
# only print thumbnails with matplotlib > 1.0
shown_images = np.array([[1., 1.]]) # just something big
for i in range(X.shape[0]):
letter = ":".join(labels[rows[i]][0])
if len(letter) > 20:
letter = letter[:20] + "..."
dist = np.sum((X[i] - shown_images) ** 2, 1)
if np.min(dist) < 4e-2 :
# don't show points that are too close
continue
shown_images = np.r_[shown_images, [X[i]]]
imagebox = offsetbox.AnnotationBbox(
offsetbox.TextArea(letter),
# offsox.OffsetImage(digits.images[i], cmap=plt.cm.gray_r),
X[i])
ax.add_artist(imagebox)
#plt.tight_layout(pad=0.4, w_pad=5, h_pad=5.0)
#plt.legend(["None", "PROPER", "PRONOMINAL", "NOMINAL"])
plt.xticks([]), plt.yticks([])
plt.axis('off')
if title is not None:
plt.title(title)
plt.subplots_adjust(left=-0.2, right=1.2, top=1.2, bottom=-0.2)
In [ ]:
In [56]:
hidden = np.array(f["H"])
In [60]:
rows = [i for i in range(hidden.shape[0])
if len(labels[i][1]) > 1]
non_singleton = np.array(hidden[rows])
t = sklearn.manifold.TSNE()
X_sne = t.fit_transform(non_singleton)
In [175]:
plot_embedding(X_sne)
#plt.savefig("figure.png", dpi=100)
In [97]:
!mv tmp.png temp/output/
In [ ]:
t0 = 0
In [ ]:
X_iso = sklearn.manifold.Isomap(30, n_components=2).fit_transform(hidden)
print("Done.")
plot_embedding(X_iso,
"Isomap projection of the digits (time %.2fs)" %
(time() - t0))
In [43]:
print("Computing PCA projection")
X_pca = sklearn.decomposition.TruncatedSVD(n_components=2).fit_transform(hidden)
Computing PCA projection
In [26]:
hidden[10]
Out[26]:
array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
0., 0., 0., 0., 0.], dtype=float32)
In [45]:
X_pca[500]
Out[45]:
array([ 0.62387937, -0.12132065])
In [47]:
plot_embedding(X_pca)
Content source: HendrikStrobelt/LSTMVis
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