Diff for "Narou"

   1 runlen_han   = counts[0]/runs[0]
   2 runlen_hira  = counts[1]/runs[1]
   3 runlen_kata  = counts[2]/runs[2]
   4 
   5 avg_counts = sum(counts[:3])/3
   6 prop_han   = counts[0]/avg_counts
   7 prop_hira  = counts[1]/avg_counts
   8 prop_kata  = counts[2]/avg_counts
   9 
  10 avg_runs = sum(runs[:3])/3
  11 prop_runs_han   = runs[0]/avg_runs
  12 prop_runs_hira  = runs[1]/avg_runs
  13 prop_runs_kata  = runs[2]/avg_runs
  14 
  15 norm_han   = runlen_han *prop_han
  16 norm_hira  = runlen_hira*prop_hira
  17 norm_kata  = runlen_kata*prop_kata
  18 
  19 sentence_han   = counts[0]/sentences
  20 sentence_hira  = counts[1]/sentences
  21 sentence_kata  = counts[2]/sentences
  22 
  23 runs_sentence = sum(runs[:3])/sentences
  24 sentencelen = sentencechars/sentences
  25 
  26 # ....
  27 
  28 properties_a = [
  29     math.log(prop_han),
  30     math.log(prop_hira),
  31     math.log(prop_kata),
  32     
  33     math.log(prop_runs_han),
  34     math.log(prop_runs_hira),
  35     math.log(prop_runs_kata),
  36     
  37     norm_han,
  38     norm_hira,
  39     norm_kata,
  40     
  41     sentence_han,
  42     sentence_hira,
  43     sentence_kata,
  44     
  45     1/runs_sentence,
  46     math.log(sentencelen)
  47 ]
  48 weights_a = [
  49 -1.5247242 ,
  50 -0.22352152,
  51  0.13153769,
  52 -1.6169357 ,
  53 -3.185626  ,
  54 -0.3343342 ,
  55  0.7551932 ,
  56 -0.12182076,
  57 -0.04378432,
  58 -0.04613876,
  59  0.01021774,
  60 -0.0595583 ,
  61  1.8518678 ,
  62  0.51525277,
  63 -0.13496366
  64 ]
  65 properties_b = [
  66     runlen_han,
  67     runlen_hira,
  68     runlen_kata,
  69     
  70     math.log(prop_han),
  71     math.log(prop_hira),
  72     math.log(prop_kata),
  73     
  74     math.log(prop_runs_han),
  75     math.log(prop_runs_hira),
  76     math.log(prop_runs_kata),
  77 ]
  78 weights_b = [
  79  1.0984795 ,
  80 -0.16927482,
  81 -0.1498536 ,
  82 -0.77800965,
  83  0.53427875,
  84  0.70475274,
  85 -1.769187  ,
  86 -4.1552258 ,
  87 -0.975136  ,
  88  0.754215
  89 ]
  90 
  91 nothayashi_a = weights_a[-1] + sum(properties_a[i]*weights_a[i] for i in range(len(properties_a)))
  92 nothayashi_a = (1-nothayashi_a)*50+50
  93 nothayashi_b = weights_b[-1] + sum(properties_b[i]*weights_b[i] for i in range(len(properties_b)))
  94 nothayashi_b = (1-nothayashi_b)*50+50