V0.14.4 #1379
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V0.14.4 #1379
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* only active if kernel == 'poly' * adapt the metadata to reflect this
* black checker * Simplified * add examples to black format check Co-authored-by: Matthias Feurer <feurerm@informatik.uni-freiburg.de>
* re-structure manual and use 'collapse' * ADD link to auto-sklearn-talks * unifying titles * Clarify default memory and cpu usage * FIX sphinx_gallery to <=0.10.0 0.10.1 would raise an error for '-D plot_gallery=0' * Re-structure faq * FIX comments by mfeurer * boldface items * merge manual into FAQ * FIX minor * FIX typo * Update doc/faq.rst Co-authored-by: Eddie Bergman <eddiebergmanhs@gmail.com> * Update doc/faq.rst Co-authored-by: Eddie Bergman <eddiebergmanhs@gmail.com> * Update doc/faq.rst Co-authored-by: Eddie Bergman <eddiebergmanhs@gmail.com> * Update doc/faq.rst Co-authored-by: Eddie Bergman <eddiebergmanhs@gmail.com> * Update doc/manual.rst Co-authored-by: Eddie Bergman <eddiebergmanhs@gmail.com> * Update doc/manual.rst Co-authored-by: Eddie Bergman <eddiebergmanhs@gmail.com> * Update doc/faq.rst Co-authored-by: Eddie Bergman <eddiebergmanhs@gmail.com> * FIX link Co-authored-by: Eddie Bergman <eddiebergmanhs@gmail.com>
If you're only exposure to using... -> If your only exposure to using...
* np.bool deprecation * Invalid escape sequence \_ * Series specify dtype * drop na requires keyword args deprecation * unspecified np.int size deprecated, use int instead * deprecated unspeicifed np.int precision * Element wise comparison failed, will raise error in the future * Specify explicit dtype for empty series * metric warnings for mismatch between y_pred and y_true label count * Quantile transformer n_quantiles larger than n_samples warning ignored * Silenced convergence warnings * pass sklearn args as keywords * np.bool deprecation * Invalid escape sequence \_ * Series specify dtype * drop na requires keyword args deprecation * unspecified np.int size deprecated, use int instead * deprecated unspeicifed np.int precision * Element wise comparison failed, will raise error in the future * Specify explicit dtype for empty series * metric warnings for mismatch between y_pred and y_true label count * Quantile transformer n_quantiles larger than n_samples warning ignored * Silenced convergence warnings * pass sklearn args as keywords * flake8'd * flake8'd * Fixed CategoricalImputation not accounting for sparse matrices * Updated to use distro for linux distribution * Ignore convergence warnings for gaussian process regressor * Averaging metrics now use zero_division parameter * Readded scorers to module scope * flake8'd * Fix * Fixed dtype for metalearner no run * Catch gaussian process iterative fit warning * Moved ignored warnings to tests * Correctly type pd.Series * Revert back to usual iterative fit * Readded missing iteration increment * Removed odd backslash * Fixed imputer for sparse matrices * Ignore warnings we are aware about in tests * Flake'd: * Revert "Fixed imputer for sparse matrices" This reverts commit 05675ad. * Revert "Revert "Fixed imputer for sparse matrices"" This reverts commit d031b0d. * Back to default values * Reverted to default behaviour with comment * Added xfail test to document * flaked * Fixed test, moved to np.testing for assertion * Update autosklearn/pipeline/components/data_preprocessing/categorical_encoding/encoding.py Co-authored-by: Matthias Feurer <feurerm@informatik.uni-freiburg.de> Co-authored-by: Matthias Feurer <feurerm@informatik.uni-freiburg.de>
* Added manual dispatch to tests * Removed parameters to manual dispatch
…tors (#1332) * Update docstrings and types * doc typo fix * flake'd
* added python 3.10 to versions * Added quotes around versions * Trigger tests
* Add submodule * Port to abstract_ensemble, backend from automl_common * Updated workflow files * Update imports * Trigger actions * Another import fix * update import * m * Backend fixes * Backend parameter update * fixture fix for backend * Fix tests * readd old abstract ensemble for now * flake8'd * Added install from source to readme * Moved installation w.r.t submodules to the docs * Temporarily remove submodule * Readded submodule * Updated to use automl_common under autosklearn * Updated MANIFEST * Removed uneeded statements from MANIFEST * Fixed import * Fixed comment line in MANIFEST.in * Added automl_common/setup.py to MANIFEST * Added prefix to script * Re-added removed title # * Added note for submodule for CONTRIBUTING * Made the submodule step a bit more clear for contributing.md * CONTRIBUTING fixes
* Added versioning for sphinx, docutils - introduced by sphinxtoolbox * Fixed bug with config value for `plot_gallery` in doc makefile * Update linkcheck command as well
* Added ignored_warnings file * Use ignored_warnings file * Test regressors with 1d, 1d as 2d and 2d targets * Flake'd * Fix broken relative imports to ignore_warnings * Removed print and updated parameter type for tests * Type import fix
* Added random state to classifiers * Added some doc strings * Removed random_state again * flake'd * Fix some test issues * Re-added seed to test * Updated test doc for unknown test * flake'd
* Added ignored_warnings file * Use ignored_warnings file * Test regressors with 1d, 1d as 2d and 2d targets * Flake'd * Fix broken relative imports to ignore_warnings * Removed print and updated parameter type for tests * Added warning catches to fit methods in tests * Added more warning catches * Flake'd * Created top-level module to allow relativei imports * Deleted blank line in __init__ * Remove uneeded ignore warnings from tests * Fix bad indent * Fix github merge conflict editor whitespaces and indents
* update workflow files * typo fix * Update pytest * remove bad semi-colon * Fix test runner command * Remove explicit steps required from older version * Explicitly add Conda python to path for subprocess command in test * Fix the mypy compliance check * Added PEP 561 compliance * Add py.typed to MANIFEST for dist * Remove py.typed from setup.py
* rename OSX -> macOS as it is the new name rename OSX -> macOS as it is the new name for the operating system. e.g. see https://www.apple.com/macos * Update doc/installation.rst Co-authored-by: Matthias Feurer <lists@matthiasfeurer.de> * Update doc/installation.rst Co-authored-by: Matthias Feurer <lists@matthiasfeurer.de> Co-authored-by: Matthias Feurer <feurerm@informatik.uni-freiburg.de> Co-authored-by: Matthias Feurer <lists@matthiasfeurer.de>
…semble (#1321) * Changed show_models() function to return a dictionary of models in the ensemble instead of a string
* Remove flaky dep * Remove unused pytest import
* Fix: MLPRegressor tests * Fix: Ordering of statements in test * Fix: MLP n_calls
* Fix: Raises errors with the config * Add: Skip error for kernal_pca Seems kernel_pca emits the error: * `"zero-size array to reduction operation maximum which has no identity"` This is gotten on the line `max_eig = lambdas.max()` which makes me assume it emits a matrix with no real eigen values, not something we can really control for
mfeurer
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Jan 25, 2022
eddiebergman
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Aug 18, 2022
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Version 0.14.4
includeandexcludeparameters of the estimators #1332: Update docstring and typing ofincludeandexcludeparamsautoml_common <https://github.com/automl/automl_common>_sphinx_toolbox#1339: Resolve dependancy issues withsphinx_toolboxshow_models()to produce actual pipeline objects and not astrflakydependencySimpleClassificationPipelinetests more deterministicMLPRegressorwith newer numpyContributors v0.14.4