0.23.0

docs/mkdocs.yml

@@ -4,8 +4,8 @@ site_author: Sebastian Raschka
 site_description: A library consisting of useful tools and extensions for the day-to-day data science tasks.
 
 repo_url: https://github.com/rasbt/mlxtend
-repo_name: GitHub
-edit_uri: docs/sources/user_guide/
+repo_name: mlxtend
+edit_uri: https://github.com/rasbt/mlxtend/tree/master/docs/sources
 
 #include_search: true # not necessary for this theme
 docs_dir: sources

docs/sources/CHANGELOG.md

@@ -9,7 +9,7 @@ The CHANGELOG for the current development version is available at
 
 
 
-Version 0.22.0dev (TBD)
+Version 0.22.0 (4 April 2023)
 
 ##### Downloads
 
@@ -19,17 +19,17 @@ Version 0.22.0dev (TBD)
 
 ##### 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](https://github.com/rasbt/mlxtend/pull/985) via [Nima Sarajpoor](https://github.com/NimaSarajpoor))
-- Disabled unnecessary warning in EnsembleVoteClassifier ([#941](https://github.com/rasbt/mlxtend/issues/941))
+- When [`ExhaustiveFeatureSelector`](https://rasbt.github.io/mlxtend/user_guide/feature_selection/ExhaustiveFeatureSelector/) is run with `n_jobs == 1`, joblib is now disabled, which enables more immediate (live) feedback when the `verbose` mode is enabled. ([#985](https://github.com/rasbt/mlxtend/pull/985) via [Nima Sarajpoor](https://github.com/NimaSarajpoor))
+- Disabled unnecessary warning in [`EnsembleVoteClassifier`](https://rasbt.github.io/mlxtend/user_guide/classifier/EnsembleVoteClassifier/) ([#941](https://github.com/rasbt/mlxtend/issues/941))
 - Fixed various documentation issues ([#849](https://github.com/rasbt/mlxtend/issues/849) and [#951](https://github.com/rasbt/mlxtend/issues/951) via [Lekshmanan Natarajan](https://github.com/zuari1993))
+- Fixed "Edit on GitHub" button  ([#1024](https://github.com/rasbt/mlxtend/issues/1024))
 
 ##### New Features and Enhancements
 
-- The `mlxtend.frequent_patterns.association_rules` function has a new metric - Zhangs Metric, which measures both association and dissociation. ([#980](https://github.com/rasbt/mlxtend/pull/980))
-- Internal `fpmax` code improvement that avoids casting a sparse DataFrame into a dense NumPy array. ([#1000](https://github.com/rasbt/mlxtend/pull/1000) via [Tim Kellogg](https://github.com/tkellogg))
-- 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](https://github.com/rasbt/mlxtend/pull/998) via [Khalid ElHaj](https://github.com/Ne-oL))
-- Added `mlxtend.frequent_patterns.hmine` algorithm and documentation for mining frequent itemsets using the H-Mine algorithm. ([#1020](https://github.com/rasbt/mlxtend/pull/1020) via [Fatih Sen](https://github.com/fatihsen20))
-- Adds a new `font_color_threshold` parameter to the `mlxtend.plotting.heatmap` function to manually override the threshold for the text annotation color. ([#1022](https://github.com/rasbt/mlxtend/pull/1022))
+- The [`mlxtend.frequent_patterns.association_rules`](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/) function has a new metric - Zhang's Metric, which measures both association and dissociation. ([#980](https://github.com/rasbt/mlxtend/pull/980))
+- Internal [`mlxtend.frequent_patterns.fpmax`](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/association_rules/) code improvement that avoids casting a sparse DataFrame into a dense NumPy array. ([#1000](https://github.com/rasbt/mlxtend/pull/1000) via [Tim Kellogg](https://github.com/tkellogg))
+- The [`plot_decision_regions`](https://rasbt.github.io/mlxtend/user_guide/plotting/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](https://github.com/rasbt/mlxtend/pull/998) via [Khalid ElHaj](https://github.com/Ne-oL))
+- Added [`mlxtend.frequent_patterns.hmine`](https://rasbt.github.io/mlxtend/user_guide/frequent_patterns/hmine/) algorithm and documentation for mining frequent itemsets using the H-Mine algorithm. ([#1020](https://github.com/rasbt/mlxtend/pull/1020) via [Fatih Sen](https://github.com/fatihsen20))
 
 ### Version 0.21.0 (09/17/2022)
 

mlxtend/__init__.py

@@ -4,4 +4,4 @@
 #
 # License: BSD 3 clause
 
-__version__ = "0.22.0dev0"
+__version__ = "0.22.0"