ltable_path = '/home/w/PycharmProjects/py_entitymatching/py_entitymatching/datasets/end-to-end/Amazon-GoogleProducts/Amazon.csv'
rtable_path = '/home/w/PycharmProjects/py_entitymatching/py_entitymatching/datasets/end-to-end/Amazon-GoogleProducts/GoogleProducts.csv'
mapping_path = '/home/w/PycharmProjects/py_entitymatching/py_entitymatching/datasets/end-to-end/Amazon-GoogleProducts/Amzon_GoogleProducts_perfectMapping.csv'
mapping_lid = 'idAmazon'  # mapping表中左表id名
mapping_rid = 'idGoogleBase'  # mapping表中右表id名
ltable_id = 'id'  # 左表id字段名称
rtable_id = 'id'  # 右表id字段名称
target_attr = 'id'  # 进行md挖掘时的目标字段
lr_attrs_map = {'title': 'name'}  # 如果两个表中存在对应字段名称不一样的情况，将名称加入列表便于调整一致
similarity_threshold = 0.7
confidence_threshold = 0.8
interpre_weight = 0.3  # 可解释性权重