add data.

examples/base_demo.py

@@ -8,10 +8,14 @@ generate sentence embeddings for a given list of sentences.
 import sys
 
 sys.path.append('..')
-from similarities import BertSimilarity
+from similarities.similarity import WSimilarity
+from loguru import logger
+
+logger.remove()
+logger.add(sys.stderr, level="INFO")
 
 if __name__ == '__main__':
-    model = BertSimilarity("shibing624/text2vec-base-chinese")  # 中文句向量模型(CoSENT)
+    model = Similarity("shibing624/text2vec-base-chinese")  # 中文句向量模型(CoSENT)
     # Embed a list of sentences
     sentences = ['如何更换花呗绑定银行卡',
                  '花呗更改绑定银行卡']

examples/demo.py

@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+"""
+@author:XuMing(xuming624@qq.com)
+@description: 
+"""
+import numpy as np
+import gensim
+from gensim.matutils import *
+from gensim import matutils
+from scipy.sparse import csc_matrix, csr_matrix
+
+vec_1 = [(2, 1), (3, 4), (4, 1), (5, 1), (1, 1), (7, 2)]
+vec_2 = [(1, 1), (3, 8), (4, 1)]
+result = matutils.jaccard(vec_2, vec_1)
+expected = 1 - 0.3
+print(result)
+
+# checking ndarray, csr_matrix as inputs
+vec_1 = np.array([[1, 3], [0, 4], [2, 3]])
+vec_2 = csr_matrix([[1, 4], [0, 2], [2, 2]])
+result = matutils.jaccard(vec_1, vec_2)
+expected = 1 - 0.388888888889
+print(result)
+
+# checking ndarray, list as inputs
+vec_1 = np.array([6, 1, 2, 3])
+vec_2 = [4, 3, 2, 5]
+result = matutils.jaccard(vec_1, vec_2)
+expected = 1 - 0.333333333333
+print(result)
+
+vec_1 = [[1, 3], [2, 4], [3, 3]]
+vec_2 = [[1, 6], [2, 2], [3, 2]]
+
+vec_1 = [[0, 1], [1, 4], [2, 6]]
+vec_2 = [[0, 1], [1, 2], [2, 3]]
+a = cossim(vec_1, vec_2)
+print(a)
+
+vec_1 = [[0, 1], [1, 1], [2, 1]]
+vec_2 = [[0, 1], [1, 2], [2, 3]]
+a = cossim(vec_1, vec_2)
+print(a)
+
+vec_1 = [[0, 2], [1, 4], [2, 6]]
+vec_2 = [[0, 1], [1, 2], [2, 3]]
+a = cossim(vec_1, vec_2)
+print(a)
+print("jaccard:", matutils.jaccard(vec_1, vec_2))
+
+vec_1 = np.array([2,4,6])
+vec_2 = np.array([1,2,3])
+
+# vec_1 = np.array([3,4,3])
+# vec_2 = np.array([6,2,2])
+#
+# vec_1 = np.array([[3],[4],[3]])
+# vec_2 = np.array([[6],[2],[2]])
+print("jaccard2:", matutils.jaccard(vec_1, vec_2))
+