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FP-growth codes in "Machine Learning in Action"
我想问下 updateFPtree 的 参数 intree 不是局部变量吗?修改后会影响原值?
Hi! :) I changed some of the code to use with Python 3,, however, I have some issues.
I cannot find a library with the FP-growth algorithm that works. I tried the pyspark one and the FP-growth. In the pyspark one, I end up with spark's connection errors after some runs. It was working in the beginning, but then it blew up. The second one cannot handle my dataset due to memory problems.
Btw, after I changed some dict problems with iteritems() and has_key(), the nimeFPtree function gives me an error that I do not know what it is:
bigL = [v[0] for v in sorted(headerTable.items(), key=lambda p: p[1])] # (sort header table)
AttributeError: 'NoneType' object has no attribute 'items'
Any thoughts?
Thanks in advance
def generateRules(freqItemList, supportData, minConf=0.7):
bigRuleList = []
for freqSet in freqItemList:
H1 = [frozenset([item]) for item in freqSet]
if len(freqSet)>1:
rulesFromConseq(freqSet, H1, supportData, bigRuleList, minConf)
else:
calcConf(freqSet, H1, supportData, bigRuleList, minConf)
return bigRuleList
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