Question: 9:39 7 0. Complete the function def prune_itensets(root_item, itensets, item_counts, min_count): so that it implements Step 2 and Step 3 of the recommender. That is,

 9:39 7 0. Complete the function def prune_itensets(root_item, itensets, item_counts, min_count):
so that it implements Step 2 and Step 3 of the recommender.

9:39 7 0. Complete the function def prune_itensets(root_item, itensets, item_counts, min_count): so that it implements Step 2 and Step 3 of the recommender. That is, the inputs are: root_iten: The root item (e. the root artist name) Itensets: A collection of itemsets . item_counts: A pre-tabulated count of how many times each item appears in an itemset . min_count: The minimum number of itemsets in which an item should appear to be considered a recommendation Your function should return the playlists pruned as follows: 1 Filter the itemsets to only those containing root_iten. The resulting tomsets are the filtered itemsets. 2. For each filtered itemset, remove any item where item_counts[0]

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