The current frequent pattern and association rule mining algorithms are not implemented for generality not efficiency and may end up consuming unnecessary CPU and memory in certain cases. As discussed in #893, we could think about a parameter to limit the antecedent and/or consequent sets sizes.
The current frequent pattern and association rule mining algorithms are not implemented for generality not efficiency and may end up consuming unnecessary CPU and memory in certain cases. As discussed in #893, we could think about a parameter to limit the antecedent and/or consequent sets sizes.