ex_fuzzy.rule_mining.rule_search#

ex_fuzzy.rule_mining.rule_search(data, fuzzy_variables, support_threshold=0.05, max_depth=None)[source]#

Computes the apriori algorithm for the given dataframe and threshold the support.

Parameters:

data (DataFrame) – Dataframe of shape: samples x features
variables (fuzzy) – dict that maps each feature name with a fuzzy variable.
support_threshold (float) – minimum support to consider frequent an itemset.

Returns:

all the frequent itemsets as a list.

Return type: