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@@ -18,11 +18,18 @@ The CHANGELOG for the current development version is available at
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##### New Features and Enhancements
2020

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- [`mlxtend.frequent_patterns.association_rules`](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/) Implemented three new metrics: Jaccard, Certainty, and Kulczynski. ([#1096](https://github.com/rasbt/mlxtend/issues/1096))
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- Integrated scikit-learn's `set_output` method into `TransactionEncoder` ([#1087](https://github.com/rasbt/mlxtend/issues/1087) via [it176131](https://github.com/it176131))
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- Implement the FP-Growth and FP-Max algorithms with the possibility of missing values in the input dataset. Added a new metric Representativity for the association rules generated ([#1004](https://github.com/rasbt/mlxtend/issues/1004) via [zazass8](https://github.com/zazass8)).
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Files updated:
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- ['mlxtend.frequent_patterns.fpcommon']
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- ['mlxtend.frequent_patterns.fpgrowth'](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/fpgrowth/)
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- ['mlxtend.frequent_patterns.fpmax'](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/fpmax/)
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- [`mlxtend.frequent_patterns.association_rules`](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/)
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- [`mlxtend.frequent_patterns.association_rules`](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/)Implemented three new metrics: Jaccard, Certainty, and Kulczynski. ([#1096](https://github.com/rasbt/mlxtend/issues/1096))
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- Integrated scikit-learn's `set_output` method into `TransactionEncoder` ([#1087](https://github.com/rasbt/mlxtend/issues/1087) via[it176131](https://github.com/it176131))
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##### Changes
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- [`mlxtend.frequent_patterns.fpcommon`] Added the null_values parameter in valid_input_check signature to check in case the input also includes null values. Changes the returns statements and function signatures for setup_fptree and generated_itemsets respectively to return the disabled array created and to include it as a parameter. Added code in [`mlxtend.frequent_patterns.fpcommon`] and [`mlxtend.frequent_patterns.association_rules`](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/) to implement the algorithms in case null values exist when null_values is True.
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- [`mlxtend.frequent_patterns.association_rules`](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/) Added optional parameter 'return_metrics' to only return a given list of metrics, rather than every possible metric.
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- Add `n_classes_` attribute to stacking classifiers for compatibility with scikit-learn 1.3 ([#1091](https://github.com/rasbt/mlxtend/issues/1091))

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