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Function get_data

hmm_class/hmm_classifier.py:58–85  ·  view source on GitHub ↗
()

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56 return [y for x, y in tuples]
57
58def get_data():
59 word2idx = {}
60 current_idx = 0
61 X = []
62 Y = []
63 for fn, label in zip(('robert_frost.txt', 'edgar_allan_poe.txt'), (0, 1)):
64 count = 0
65 for line in open(fn):
66 line = line.rstrip()
67 if line:
68 print(line)
69 # tokens = remove_punctuation(line.lower()).split()
70 tokens = get_tags(line)
71 if len(tokens) > 1:
72 # scan doesn't work nice here, technically could fix...
73 for token in tokens:
74 if token not in word2idx:
75 word2idx[token] = current_idx
76 current_idx += 1
77 sequence = np.array([word2idx[w] for w in tokens])
78 X.append(sequence)
79 Y.append(label)
80 count += 1
81 print(count)
82 if count >= 50:
83 break
84 print("Vocabulary:", word2idx.keys())
85 return X, Y, current_idx
86
87
88def main():

Callers 1

mainFunction · 0.70

Calls 1

get_tagsFunction · 0.70

Tested by

no test coverage detected