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Adding a support_only param to the association_rules function #421

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Jul 21, 2018
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Adding a support_only param to the association_rules function #421

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4c3a550
support_only param for association_rules
rasbt Jul 20, 2018
7926d58
pep8 fix
rasbt Jul 20, 2018
1c7f00d
fix typos
rasbt Jul 21, 2018
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3 changes: 2 additions & 1 deletion docs/sources/CHANGELOG.md
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Expand Up @@ -24,7 +24,8 @@ The CHANGELOG for the current development version is available at
- Two new functions, `vectorspace_orthonormalization` and `vectorspace_dimensionality` were added to `mlxtend.math` to use the Gram-Schmidt process to convert a set of linearly independent vectors into a set of orthonormal basis vectors, and to compute the dimensionality of a vectorspace, respectively. ([#382](https://github.com/rasbt/mlxtend/pull/382))
- `mlxtend.frequent_patterns.apriori` now supports pandas `SparseDataFrame`s to generate frequent itemsets. ([#404](https://github.com/rasbt/mlxtend/pull/404) via [Daniel Morales](https://github.com/rasbt/mlxtend/pull/404))
- The `plot_confusion_matrix` function now has the ability to show normalized confusion matrix coefficients in addition to or instead of absolute confusion matrix coefficients with or without a colorbar. The text display method has been changed so that the full range of the colormap is used. The default size is also now set based on the number of classes.
- Adding support for merging the meta features with the original input features in `StackingRegressor` (via `use_features_in_secondary`) like it is already supported in the other Stacking classes. ([#418](https://github.com/rasbt/mlxtend/pull/418))
- Added support for merging the meta features with the original input features in `StackingRegressor` (via `use_features_in_secondary`) like it is already supported in the other Stacking classes. ([#418](https://github.com/rasbt/mlxtend/pull/418))
- Added a `support_only` to the `association_rules` function, which allow constructing association rules (based on the support metric only) for cropped input DataFrames that don't contain a complete set of antecedent and consequent support values. ([#421](https://github.com/rasbt/mlxtend/pull/421))

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