From fa2fdc00757a304d6a239bac22a12c77f653d19a Mon Sep 17 00:00:00 2001 From: rasbt Date: Sun, 2 Apr 2023 13:55:21 -0500 Subject: [PATCH] fix edit button and links --- docs/mkdocs.yml | 4 ++-- docs/sources/CHANGELOG.md | 13 +++++++------ 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index 3648d56cb..28c599bfc 100755 --- a/docs/mkdocs.yml +++ b/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 diff --git a/docs/sources/CHANGELOG.md b/docs/sources/CHANGELOG.md index d5cce3b7b..0c7aa0b35 100755 --- a/docs/sources/CHANGELOG.md +++ b/docs/sources/CHANGELOG.md @@ -19,16 +19,17 @@ Version 0.22.0 (4 April 2023) ##### 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)) +- 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)