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Mar 16th, 2018
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  1. In [1]: %load_ext autoreload
  2.  
  3. In [2]: %autoreload 2
  4.  
  5. In [3]: from stan_lda import *
  6.  
  7. In [4]: import os
  8.  
  9. In [5]: os.environ['CC'] = 'gcc-4.8'
  10.  
  11. In [6]: word_ids, doc_ids, vocab = read_corpus("ptb.train.txt", 100)
  12.  
  13. In [7]: fit = run_stan(word_ids, doc_ids, vocab, n_topics=7)
  14. INFO:pystan:COMPILING THE C++ CODE FOR MODEL anon_model_d8759dc0e20014dd3ccabfc20650f402 NOW.
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  55. #
  56. # Elapsed Time: 365.896 seconds (Warm-up)
  57. # 356.369 seconds (Sampling)
  58. # 722.266 seconds (Total)
  59. #
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  66. #
  67. # Elapsed Time: 383.557 seconds (Warm-up)
  68. # 559.784 seconds (Sampling)
  69. # 943.34 seconds (Total)
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  72. #
  73. # Elapsed Time: 342.031 seconds (Warm-up)
  74. # 641.288 seconds (Sampling)
  75. # 983.319 seconds (Total)
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  78. #
  79. # Elapsed Time: 377.516 seconds (Warm-up)
  80. # 656.548 seconds (Sampling)
  81. # 1034.06 seconds (Total)
  82. #
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