FP- Growth Implementation

def item_support(dataset, min_support): A helper function that returns the support count of each item in the dataset. The dictionary is further sorted based on maximum support of each item and pruned based on min_support. Input: 1. dataset - A python dictionary containing the transactions. 2. items - A python list representing all the items that are part of all the transactions. 3. min_support - A floating point variable representing the min_support value for the set of transactions. Output: 1. support_dict - A dictionary representing the support count of each item in the dataset. len_transactions = len (dataset) support_dict = dict() for key, value in dataset.items(): # your code here in Python sorted_support = dict(sorted (support_dict.items(), key=lambda item: item[1], reverse=True)) pruned_support = {key:val for key, val in sorted_support.items() if val/len_transactions >= min_support} return support_dict