Update distance_text_or_vec.py
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# !/usr/bin/python
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# !/usr/bin/python
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# @time :2019/4/4 10:00
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# @time :2019/4/4 10:00
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# @author :Mo
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# @author :Mo
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# @function :
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# @function :calculate distances of Varity
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from sklearn.feature_extraction.text import TfidfVectorizer
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from sklearn.feature_extraction.text import TfidfVectorizer
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from utils.text_tools import txtRead, get_syboml, strQ2B
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from utils.text_tools import txtRead, get_syboml, strQ2B
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@ -324,7 +324,3 @@ if __name__ == '__main__':
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print(num_of_common_sub_str(str1_test, str2_test))
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print(num_of_common_sub_str(str1_test, str2_test))
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print(normalization(vec1_test)) # 归一化(0-1)
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print(normalization(vec1_test)) # 归一化(0-1)
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print(z_score(vec1_test)) # 标准化(0附近,正负)
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print(z_score(vec1_test)) # 标准化(0附近,正负)
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# data_path = 'D:/workspace/python/bitbucket/nlp_model_v1.0/nlp_model/models/word_feature/sim_data/'
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# tok_TD_IDF(data_path)
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# tok_TD_IDF_pinyin(data_path)
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