apriori() got an unexpected keyword argument 'min_confidence'

The error message "apriori() got an unexpected keyword argument 'min_confidence'" indicates that the function apriori() was called with an argument 'min_confidence' which is not recognized by the function.

The apriori() function is a part of the mlxtend library which is used for implementing the Apriori algorithm, a popular algorithm used for association rule mining. The Apriori algorithm searches for frequent itemsets in a dataset and generates association rules between them.

The correct argument for setting the minimum confidence level for generating association rules is 'min_threshold', not 'min_confidence'. So, you should modify your code to use 'min_threshold' instead of 'min_confidence'.

Here's an example:

from mlxtend.frequent_patterns import apriori, association_rules

frequent_itemsets = apriori(df, min_support=0.1, use_colnames=True)
rules = association_rules(frequent_itemsets, metric="confidence", min_threshold=0.5)