MLxtend 0.23.0 is out

[rasbt]

Hey all,
MLxtend 0.23.0 is now out. It features the following updates:

Changes

• When ExhaustiveFeatureSelector is run with n_jobs == 1, joblib is now disabled, which enables more immediate (live) feedback when the verbose mode is enabled. (#985 via Nima Sarajpoor)
• Disabled unnecessary warning in EnsembleVoteClassifier (#941)
• Fixed various documentation issues (#849 and #951 via Lekshmanan Natarajan)
• Fixed "Edit on GitHub" button (#1024)

New Features and Enhancements

• The mlxtend.frequent_patterns.association_rules function has a new metric - Zhang's Metric, which measures both association and dissociation. (#980 via Lekshmanan Natarajan)
• Internal mlxtend.frequent_patterns.fpmax code improvement that avoids casting a sparse DataFrame into a dense NumPy array. (#1000 via Tim Kellogg)
• The plot_decision_regions function now has a n_jobs parameter to parallelize the computation. (In a particular use case, on a small dataset, there was a 21x speed-up (449 seconds vs 21 seconds on local HPC instance of 36 cores). (#998 via Khalid ElHaj)
• Added mlxtend.frequent_patterns.hmine algorithm and documentation for mining frequent itemsets using the H-Mine algorithm. (#1020 via Fatih Sen)

Thanks for all the kind contributions @fatihsen20 @tkellogg @NimaSarajpoor @Ne-oL @zuari1993 🎉