尝试实现apriori算法并使其达到可以提取所有事务中同时出现的子集的程度。在
这就是我所拥有的:
subsets = [set(['Breakfast & Brunch', 'Restaurants']), set(['American (Traditional)', 'Breakfast & Brunch']), set(['American (Traditional)', 'Restaurants']), set(['American (Traditional)', 'Breakfast & Brunch']), set(['Breakfast & Brunch', 'Restaurants']), set(['American (Traditional)', 'Restaurants'])]
例如,set(['Breakfast & Brunch', 'Restaurants'])
出现两次
我需要记录发生的次数和相应的模式。在
我试着用:
^{pr2}$但它会产生这样的错误:
supported = itemsets_support(transactions, candidates)
File "apriori.py", line 77, in itemsets_support
support_set.update(subsets)
File"/usr/local/Cellar/python/2.7.12/Frameworks/Python.framework/Versions/2.7/lib/python2.7/collections.py", line 567, in update
self[elem] = self_get(elem, 0) + 1
TypeError: unhashable type: 'set'
有什么想法吗?在
您可以将集合转换为可散列的^{} 实例:
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