Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- jalal@klein:~/computer_vision/image_retrieval$ python gensim_test.py
- 2016-10-04 17:46:44,402 : INFO : collecting all words and their counts
- 2016-10-04 17:46:44,403 : INFO : PROGRESS: at sentence #0, processed 0 words, keeping 0 word types
- 2016-10-04 17:46:49,775 : INFO : collected 253854 word types from a corpus of 17005207 raw words and 1701 sentences
- 2016-10-04 17:46:50,150 : INFO : min_count=5 retains 71290 unique words (drops 182564)
- 2016-10-04 17:46:50,150 : INFO : min_count leaves 16718844 word corpus (98% of original 17005207)
- 2016-10-04 17:46:50,359 : INFO : deleting the raw counts dictionary of 253854 items
- 2016-10-04 17:46:50,390 : INFO : sample=0.001 downsamples 38 most-common words
- 2016-10-04 17:46:50,390 : INFO : downsampling leaves estimated 12506280 word corpus (74.8% of prior 16718844)
- 2016-10-04 17:46:50,390 : INFO : estimated required memory for 71290 words and 100 dimensions: 92677000 bytes
- 2016-10-04 17:46:50,589 : INFO : resetting layer weights
- 2016-10-04 17:46:51,290 : INFO : training model with 16 workers on 71290 vocabulary and 100 features, using sg=0 hs=0 sample=0.001 negative=5
- 2016-10-04 17:46:51,290 : INFO : expecting 1701 sentences, matching count from corpus used for vocabulary survey
- 2016-10-04 17:46:52,300 : INFO : PROGRESS: at 1.00% examples, 621533 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:46:53,310 : INFO : PROGRESS: at 2.30% examples, 711079 words/s, in_qsize 29, out_qsize 1
- 2016-10-04 17:46:54,337 : INFO : PROGRESS: at 3.52% examples, 722178 words/s, in_qsize 31, out_qsize 2
- 2016-10-04 17:46:55,352 : INFO : PROGRESS: at 4.68% examples, 719469 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:46:56,372 : INFO : PROGRESS: at 5.98% examples, 738191 words/s, in_qsize 31, out_qsize 1
- 2016-10-04 17:46:57,373 : INFO : PROGRESS: at 7.21% examples, 743342 words/s, in_qsize 31, out_qsize 1
- 2016-10-04 17:46:58,402 : INFO : PROGRESS: at 8.38% examples, 739438 words/s, in_qsize 31, out_qsize 2
- 2016-10-04 17:46:59,437 : INFO : PROGRESS: at 9.50% examples, 732771 words/s, in_qsize 30, out_qsize 7
- 2016-10-04 17:47:00,454 : INFO : PROGRESS: at 10.73% examples, 735021 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:01,454 : INFO : PROGRESS: at 11.86% examples, 732447 words/s, in_qsize 30, out_qsize 0
- 2016-10-04 17:47:02,470 : INFO : PROGRESS: at 12.99% examples, 729185 words/s, in_qsize 30, out_qsize 1
- 2016-10-04 17:47:03,491 : INFO : PROGRESS: at 14.17% examples, 728959 words/s, in_qsize 30, out_qsize 3
- 2016-10-04 17:47:04,487 : INFO : PROGRESS: at 15.45% examples, 733252 words/s, in_qsize 29, out_qsize 0
- 2016-10-04 17:47:05,493 : INFO : PROGRESS: at 16.59% examples, 731323 words/s, in_qsize 31, out_qsize 1
- 2016-10-04 17:47:06,547 : INFO : PROGRESS: at 17.74% examples, 728241 words/s, in_qsize 29, out_qsize 4
- 2016-10-04 17:47:07,574 : INFO : PROGRESS: at 19.00% examples, 731231 words/s, in_qsize 32, out_qsize 2
- 2016-10-04 17:47:08,560 : INFO : PROGRESS: at 20.22% examples, 732649 words/s, in_qsize 29, out_qsize 0
- 2016-10-04 17:47:09,595 : INFO : PROGRESS: at 21.41% examples, 731891 words/s, in_qsize 31, out_qsize 1
- 2016-10-04 17:47:10,623 : INFO : PROGRESS: at 22.60% examples, 730945 words/s, in_qsize 28, out_qsize 4
- 2016-10-04 17:47:11,632 : INFO : PROGRESS: at 23.83% examples, 732614 words/s, in_qsize 30, out_qsize 3
- 2016-10-04 17:47:12,624 : INFO : PROGRESS: at 25.01% examples, 732840 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:13,636 : INFO : PROGRESS: at 26.26% examples, 735019 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:14,649 : INFO : PROGRESS: at 27.43% examples, 734959 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:15,668 : INFO : PROGRESS: at 28.58% examples, 733902 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:47:16,682 : INFO : PROGRESS: at 29.69% examples, 732120 words/s, in_qsize 31, out_qsize 4
- 2016-10-04 17:47:17,709 : INFO : PROGRESS: at 30.97% examples, 733963 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:18,727 : INFO : PROGRESS: at 32.22% examples, 735482 words/s, in_qsize 29, out_qsize 0
- 2016-10-04 17:47:19,734 : INFO : PROGRESS: at 33.37% examples, 734576 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:47:20,735 : INFO : PROGRESS: at 34.58% examples, 735437 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:47:21,776 : INFO : PROGRESS: at 35.78% examples, 734396 words/s, in_qsize 30, out_qsize 2
- 2016-10-04 17:47:22,788 : INFO : PROGRESS: at 36.99% examples, 734990 words/s, in_qsize 31, out_qsize 2
- 2016-10-04 17:47:23,794 : INFO : PROGRESS: at 38.13% examples, 734017 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:24,809 : INFO : PROGRESS: at 39.33% examples, 733968 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:47:25,820 : INFO : PROGRESS: at 40.60% examples, 735458 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:26,830 : INFO : PROGRESS: at 41.73% examples, 734095 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:27,841 : INFO : PROGRESS: at 42.88% examples, 733521 words/s, in_qsize 29, out_qsize 3
- 2016-10-04 17:47:28,839 : INFO : PROGRESS: at 44.15% examples, 735077 words/s, in_qsize 25, out_qsize 0
- 2016-10-04 17:47:29,851 : INFO : PROGRESS: at 45.31% examples, 734870 words/s, in_qsize 30, out_qsize 0
- 2016-10-04 17:47:30,866 : INFO : PROGRESS: at 46.51% examples, 735385 words/s, in_qsize 24, out_qsize 1
- 2016-10-04 17:47:31,869 : INFO : PROGRESS: at 47.61% examples, 734076 words/s, in_qsize 29, out_qsize 4
- 2016-10-04 17:47:32,875 : INFO : PROGRESS: at 48.81% examples, 734331 words/s, in_qsize 29, out_qsize 0
- 2016-10-04 17:47:33,880 : INFO : PROGRESS: at 49.96% examples, 734036 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:34,900 : INFO : PROGRESS: at 51.16% examples, 734204 words/s, in_qsize 28, out_qsize 3
- 2016-10-04 17:47:35,919 : INFO : PROGRESS: at 52.38% examples, 734554 words/s, in_qsize 32, out_qsize 1
- 2016-10-04 17:47:36,960 : INFO : PROGRESS: at 53.54% examples, 734277 words/s, in_qsize 28, out_qsize 3
- 2016-10-04 17:47:37,954 : INFO : PROGRESS: at 54.78% examples, 734888 words/s, in_qsize 31, out_qsize 3
- 2016-10-04 17:47:38,979 : INFO : PROGRESS: at 56.00% examples, 734850 words/s, in_qsize 27, out_qsize 7
- 2016-10-04 17:47:39,983 : INFO : PROGRESS: at 57.24% examples, 735531 words/s, in_qsize 29, out_qsize 3
- 2016-10-04 17:47:40,995 : INFO : PROGRESS: at 58.47% examples, 735891 words/s, in_qsize 29, out_qsize 1
- 2016-10-04 17:47:42,009 : INFO : PROGRESS: at 59.67% examples, 735953 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:43,004 : INFO : PROGRESS: at 60.87% examples, 736214 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:44,013 : INFO : PROGRESS: at 62.10% examples, 736671 words/s, in_qsize 27, out_qsize 1
- 2016-10-04 17:47:45,041 : INFO : PROGRESS: at 63.28% examples, 736105 words/s, in_qsize 30, out_qsize 3
- 2016-10-04 17:47:46,053 : INFO : PROGRESS: at 64.36% examples, 734979 words/s, in_qsize 31, out_qsize 8
- 2016-10-04 17:47:47,053 : INFO : PROGRESS: at 65.64% examples, 736172 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:47:48,069 : INFO : PROGRESS: at 66.83% examples, 736263 words/s, in_qsize 29, out_qsize 2
- 2016-10-04 17:47:49,090 : INFO : PROGRESS: at 68.01% examples, 736256 words/s, in_qsize 29, out_qsize 1
- 2016-10-04 17:47:50,081 : INFO : PROGRESS: at 69.09% examples, 735169 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:51,134 : INFO : PROGRESS: at 70.30% examples, 735037 words/s, in_qsize 32, out_qsize 3
- 2016-10-04 17:47:52,152 : INFO : PROGRESS: at 71.52% examples, 735505 words/s, in_qsize 28, out_qsize 5
- 2016-10-04 17:47:53,139 : INFO : PROGRESS: at 72.76% examples, 736054 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:47:54,147 : INFO : PROGRESS: at 73.85% examples, 735154 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:47:55,152 : INFO : PROGRESS: at 75.10% examples, 735713 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:47:56,154 : INFO : PROGRESS: at 76.33% examples, 736086 words/s, in_qsize 26, out_qsize 0
- 2016-10-04 17:47:57,191 : INFO : PROGRESS: at 77.58% examples, 736364 words/s, in_qsize 32, out_qsize 1
- 2016-10-04 17:47:58,226 : INFO : PROGRESS: at 78.67% examples, 735123 words/s, in_qsize 30, out_qsize 3
- 2016-10-04 17:47:59,231 : INFO : PROGRESS: at 79.93% examples, 735788 words/s, in_qsize 30, out_qsize 2
- 2016-10-04 17:48:00,259 : INFO : PROGRESS: at 81.18% examples, 736015 words/s, in_qsize 32, out_qsize 1
- 2016-10-04 17:48:01,260 : INFO : PROGRESS: at 82.29% examples, 735365 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:48:02,286 : INFO : PROGRESS: at 83.41% examples, 734608 words/s, in_qsize 30, out_qsize 3
- 2016-10-04 17:48:03,308 : INFO : PROGRESS: at 84.55% examples, 734154 words/s, in_qsize 29, out_qsize 2
- 2016-10-04 17:48:04,320 : INFO : PROGRESS: at 85.73% examples, 734110 words/s, in_qsize 28, out_qsize 3
- 2016-10-04 17:48:05,348 : INFO : PROGRESS: at 86.96% examples, 734438 words/s, in_qsize 30, out_qsize 1
- 2016-10-04 17:48:06,360 : INFO : PROGRESS: at 88.20% examples, 734932 words/s, in_qsize 27, out_qsize 0
- 2016-10-04 17:48:07,366 : INFO : PROGRESS: at 89.41% examples, 735145 words/s, in_qsize 32, out_qsize 0
- 2016-10-04 17:48:08,369 : INFO : PROGRESS: at 90.64% examples, 735636 words/s, in_qsize 30, out_qsize 0
- 2016-10-04 17:48:09,376 : INFO : PROGRESS: at 91.80% examples, 735508 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:48:10,377 : INFO : PROGRESS: at 92.97% examples, 735425 words/s, in_qsize 30, out_qsize 1
- 2016-10-04 17:48:11,383 : INFO : PROGRESS: at 94.14% examples, 735413 words/s, in_qsize 32, out_qsize 1
- 2016-10-04 17:48:12,401 : INFO : PROGRESS: at 95.30% examples, 734952 words/s, in_qsize 31, out_qsize 1
- 2016-10-04 17:48:13,401 : INFO : PROGRESS: at 96.47% examples, 734838 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:48:14,414 : INFO : PROGRESS: at 97.67% examples, 734919 words/s, in_qsize 31, out_qsize 0
- 2016-10-04 17:48:15,429 : INFO : PROGRESS: at 98.81% examples, 734553 words/s, in_qsize 24, out_qsize 3
- 2016-10-04 17:48:16,233 : INFO : worker thread finished; awaiting finish of 15 more threads
- 2016-10-04 17:48:16,236 : INFO : worker thread finished; awaiting finish of 14 more threads
- 2016-10-04 17:48:16,255 : INFO : worker thread finished; awaiting finish of 13 more threads
- 2016-10-04 17:48:16,279 : INFO : worker thread finished; awaiting finish of 12 more threads
- 2016-10-04 17:48:16,280 : INFO : worker thread finished; awaiting finish of 11 more threads
- 2016-10-04 17:48:16,280 : INFO : worker thread finished; awaiting finish of 10 more threads
- 2016-10-04 17:48:16,280 : INFO : worker thread finished; awaiting finish of 9 more threads
- 2016-10-04 17:48:16,283 : INFO : worker thread finished; awaiting finish of 8 more threads
- 2016-10-04 17:48:16,295 : INFO : worker thread finished; awaiting finish of 7 more threads
- 2016-10-04 17:48:16,302 : INFO : worker thread finished; awaiting finish of 6 more threads
- 2016-10-04 17:48:16,306 : INFO : worker thread finished; awaiting finish of 5 more threads
- 2016-10-04 17:48:16,308 : INFO : worker thread finished; awaiting finish of 4 more threads
- 2016-10-04 17:48:16,309 : INFO : worker thread finished; awaiting finish of 3 more threads
- 2016-10-04 17:48:16,310 : INFO : worker thread finished; awaiting finish of 2 more threads
- 2016-10-04 17:48:16,315 : INFO : worker thread finished; awaiting finish of 1 more threads
- 2016-10-04 17:48:16,321 : INFO : worker thread finished; awaiting finish of 0 more threads
- 2016-10-04 17:48:16,321 : INFO : training on 85026035 raw words (62532628 effective words) took 85.0s, 735445 effective words/s
- 2016-10-04 17:48:16,321 : INFO : precomputing L2-norms of word weight vectors
- 2016-10-04 17:48:16,678 : INFO : saving Word2Vec object under text8_data, separately None
- 2016-10-04 17:48:16,678 : INFO : not storing attribute syn0norm
- 2016-10-04 17:48:16,678 : INFO : not storing attribute cum_table
- 2016-10-04 17:48:17,373 : INFO : Removed 17 and 25 OOV words from document 1 and 2 (respectively).
- 2016-10-04 17:48:17,373 : INFO : adding document #0 to Dictionary(0 unique tokens: [])
- 2016-10-04 17:48:17,373 : INFO : built Dictionary(59 unique tokens: [u'heart', u'love', u'departed', u'deck', u'within']...) from 2 documents (total 75 corpus positions)
- Distance between the two poems is: 1.07660111163
- 2016-10-04 17:48:17,385 : INFO : Removed 0 and 1 OOV words from document 1 and 2 (respectively).
- 2016-10-04 17:48:17,385 : INFO : adding document #0 to Dictionary(0 unique tokens: [])
- 2016-10-04 17:48:17,385 : INFO : built Dictionary(7 unique tokens: [u'chicago', u'media', u'illinois', u'press', u'president']...) from 2 documents (total 7 corpus positions)
- Distance between the two sentences is: 1.10310476666
Advertisement
Add Comment
Please, Sign In to add comment