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The text was updated successfully, but these errors were encountered:
算法的generate_L函数返回的是所有满足支持度的频繁项集L和各频繁项的支持度support_data,你可以根据需求由这两项生成自己需要的答案。
generate_L
L
support_data
当然,若你只需生成最大长度为2的频繁项,在apriori算法中,只需将apriori.py中generate_L函数中的while(True)删除即可,这将只生成频繁项大小为2的数据
apriori.py
while(True)
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算法的generate_L函数返回的是所有满足支持度的交替项集L和各交替项的支持度support_data,你可以根据需求由这更多生成自己需要的答案。 当然,若您只需生成最大长度为2的重复项,在apriori算法中,只需将apriori.py中generate_L函数中的while(True)删除即可,这将仅生成替换项大小为2的数据
算法的generate_L函数返回的是所有满足支持度的交替项集L和各交替项的支持度support_data,你可以根据需求由这更多生成自己需要的答案。
当然,若您只需生成最大长度为2的重复项,在apriori算法中,只需将apriori.py中generate_L函数中的while(True)删除即可,这将仅生成替换项大小为2的数据
那请问FP_growth算法中需要怎样修改呢?
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The text was updated successfully, but these errors were encountered: