ex_fuzzy.rule_mining.simple_mine_rulebase#
- ex_fuzzy.rule_mining.simple_mine_rulebase(x, fuzzy_type=FUZZY_SETS.t1, support_threshold=0.05, max_depth=3)[source]#
Search the data for associations that are frequent. Computes the fuzzy variables using a 3 label partition (low, medium, high).
- Parameters:
x (DataFrame) – the data to mine. Dims: samples x features.
fuzzy_type (FUZZY_SETS) – fuzzy type to use.
support_threshold (float) – minimum threshold to decide if prune or not the rule.
max_depth (int) – maximum number of antecedents per rule.
- Returns:
a rulebase object with the rules denoted as good.
- Return type: