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* updated dependency on distutils for python 3.12 and above * removed unused import
* update changelog * update 2024
Tests should be included in the source distribution but there is no reason to include them in the build wheel. Disable implicit packages (directories without an __init__.py file) altogether by setting the following in pyproject.toml: [tool.setuptools.packages.find] include = ["mlxtend", "mlxtend.*"] namespaces = false I assume the files in mlxtend/data/data are still needed so I've modified the package data to include files in that directory.
* update ci * black update * conda init * fix workflow * fix workflow * fix workflow * skip tensorflow dependency * formatting
* modified: mlxtend/classifier/tests/test_stacking_classifier.py - Marked :test:`test_StackingClassifier` as skip because scikit-learn implemented its own :class:`StackingClassifier` in 0.22. * modified: mlxtend/classifier/tests/test_stacking_classifier.py - Formatted with isort, black, flake8. * modified: mlxtend/classifier/tests/test_stacking_classifier.py - Skipping all failing unit tests related to :class:`StackingClassifier` as they don't align with `scikit-learn`'s implementation. * modified: mlxtend/classifier/tests/test_stacking_cv_classifier.py - Skipping failed unit tests because scikit-learn's StackingClassifier has built-in cross-validation support. * modified: .github/workflows/python-package-conda.yml - Updated scikit-learn version to 1.3.1 modified: environment.yml - Updated scikit-learn version to 1.3.1 modified: requirements.txt - Updated scikit-learn version to 1.3.1 * modified: mlxtend/preprocessing/tests/test_transactionencoder.py - Updated failing unit test to compare output directly instead of converting to numpy arrays (which results in errors unless the dtype is set to object). * modified: mlxtend/regressor/tests/test_stacking_cv_regression.py - Skipping `test_gridsearch_replace_mix` as it uses `StackingCVRegressor` when `scikit-learn` has its own implementation as of 0.22. * fix stacking classifiers * update * adjust for macos vs linux precision * autoformat workflow * autoformat workflow * hopefully final update * hopefully final update * leeway for linux * leeway for linux --------- Co-authored-by: rasbt <[email protected]>
#1087) * modified: test_transactionencoder.py - Added two new tests, `test_get_feature_names_out` and `test_set_output`. Passing these tests is a step towards the output of `TransactionEncoder` being formatted as a pandas.DataFramed by default. * modified: transactionencoder.py - Added `get_feature_names_out` method to `TransactionEncoder` to expose the `set_output` method. * modified: tests/test_transactionencoder.py - Updated test to include more checks. It is now back in a failing state. * modified: tests/test_transactionencoder.py - Updated test_set_output docstring to be more explicit. - Added numpy assertion to check that the transformed output columns match the original columns_ attribute for test_set_output. - Added numpy assertion to check that the get_feature_names_out output match the original columns_ attribute for test_get_feature_names_out. * modified: transactionencoder.py - Added logic similar to that in `sklearn.base.ClassNamePrefixFeaturesOutMixin` and `sklearn.base.OneToOneFeatureMixin` for the get_feature_names_out method. * modified: docs/sources/user_guide/preprocessing/TransactionEncoder.ipynb - Updated the user guide to show both the get_feature_names_out method and the set_output method. * modified: docs/sources/CHANGELOG.md - Updated changelog to reflect new features. * modified: docs/sources/CHANGELOG.md - Updated issue number. * modified: docs/sources/CHANGELOG.md - Updated issue number (again) to reflect the PR link instead of the issue link. * modified: mlxtend/preprocessing/transactionencoder.py - Ran isort over imports to fix failing check in PR. * modified: requirements.txt - Increased scikit-learn version to minimum required for set_output to work. * modified: environment.yml - Bumped scikit-learn version up to 1.2.2 to match requirements.txt. * modified: .github/workflows/python-package-conda.yml - Bumped scikit-learn version up to 1.2.2 to match environment.yml and requirements.txt. * modified: mlxtend/preprocessing/tests/test_transactionencoder.py - Updated `test_inverse_transform` to passing state by removing conversion to numpy array. * modified: .github/workflows/python-package-conda.yml - Updated scikit-learn version to 1.3.1 to integerate fix from scikit-learn/scikit-learn#27044 modified: environment.yml - Updated scikit-learn version to 1.3.1 to integerate fix from scikit-learn/scikit-learn#27044 modified: requirements.txt - Updated scikit-learn version to 1.3.1 to integerate fix from scikit-learn/scikit-learn#27044 * Update mlxtend/preprocessing/transactionencoder.py * Update mlxtend/preprocessing/transactionencoder.py * Update mlxtend/preprocessing/transactionencoder.py --------- Co-authored-by: Sebastian Raschka <[email protected]>
Co-authored-by: Sebastian Raschka <[email protected]>
* Update minor typos in fpgrowth.ipynb Fixing minor typos in the markdown of notebooks for the FP-Growth webpage * fix merge conflict --------- Co-authored-by: Sebastian Raschka <[email protected]>
* Replace numpy with scipy decomps. * add changelog entry --------- Co-authored-by: Sebastian Raschka <[email protected]>
* Adding the code for calculating Jaccard Similiarity * Added some jaccard tests * More jaccard tests * Implemented Centered Confidence and Certainty Factor * Added parameter to choose only certain metrics for association_rules * removed centered confidence * remove print statements in test * Implemented kulczynski algorithm Nachiket Deo <[email protected]> * Implemented Kulcynski + Certainty tests Co-authored-by: Nachiket18 <[email protected]> Co-authored-by: AnkithN <[email protected]> * fixed flake8 formatting * Added jaccard, certainty, and kulczynski to notebook documentation Co-authored-by: AnkithN <[email protected]> * Added changes to changelog * Update test_association_rules.py * Update test_association_rules.py * Update association_rules.py * Update CHANGELOG.md --------- Co-authored-by: Nachiket18 <[email protected]> Co-authored-by: ankithn30 <[email protected]> Co-authored-by: AnkithN <[email protected]> Co-authored-by: Nachiket18 <[email protected]> Co-authored-by: AnkithN <[email protected]> Co-authored-by: Sebastian Raschka <[email protected]>
* finalize_fit() support for numpy >= 2.0 * updated changelog * flake8: removed blank line * flake8: removed trailing whitespaces * fixed changelog indents * fix for isort / black formatter * added change/feature description
* added sklearn version compability for fit_params * added change to changelog * fixed format * fixed order of imports * formatted with isort and black
* updated CI/CD workflows * Update .github/workflows/python-package-conda.yml --------- Co-authored-by: Sebastian Raschka <[email protected]>
* fixed test_end_idx calculation * added legend title * fixed intersection of xticklabels for Sample index * added changes to changelog * Update CHANGELOG.md * removed redundancy * start x-axis at the origin of coordinates * fixed CV iteration labels * revert idx change * Update CHANGELOG.md * add groups legend * fixed cmap in groups legend
* Update exhaustive_feature_selector.py AttributeError: `np.NINF` was removed in the NumPy 2.0 release. Use `-np.inf` instead. Fixed this Error. * Update mlxtend/feature_selection/exhaustive_feature_selector.py Co-authored-by: Peter Gedeck <[email protected]> --------- Co-authored-by: Sebastian Raschka <[email protected]> Co-authored-by: Peter Gedeck <[email protected]>
* Updated FPGrowth/FPMax and Association Rules with the existence of missing values * Re-structure and document code * Update unit tests * Update CHANGELOG.md * Modify the corresponding documentation in Jupyter notebooks * Final modifications * Fix association rules and corresponding tests * Fix typos * Fixing memory usage increase * Fixing memory usage increase --------- Co-authored-by: Sebastian Raschka <[email protected]>
* 0.23.4 release prep * 0.23.4 release prep
* fix: update parameter handling for sklearn version compatibility in stacking_cv * added fix to changelog * removed trailing whitespaces for flake8
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