interpret the output
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Is there a way to visualize the output (i.e., itemsets and rules)? For example, the mlxtend Apriori can generate and return statistics such as lift, which allows one to visualize the strength of the association. Can we do something similar to the heatmap presented in the article below (the last set of figure): https://medium.com/analytics-vidhya/market-basket-analysis-association-rule-mining-with-visualizations-cda24d537019
Rules have lift associated with them, see here:
You as the user can retrieve the values and visualize them. Visualization is outside of the scope of this library, and I do not have time to walk you through how to create a heatmap like that. But there is no reason why it should not be possible.
Best of luck to you. If you want to contribute to the docs with a few examples of how to create figures, then I would welcome that if the code is clean and the text well written!