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@mfeurer mfeurer commented Nov 9, 2018

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ahn1340 and others added 30 commits July 17, 2018 21:56
* use tempfile.gettempdir()

* follow quality review coding standards
* Change datasets used in examples from digits to breast_cancer.

* [Debug] try different numpy version

* [Debug] Try with latest numpy version

* Set numpy version to 1.14.5

* Fix line length in exanple_parallel.py
ahn1340 and others added 20 commits October 19, 2018 10:26
* Add argument for custom logger configuration. First commit, work in progress.

* Minor changes.

* Modify suggested changes [WIP]

* .

* .

* .

* .

* Fix minor details

* Fix travis not recognizing example_config.yaml

* .

* .

* .

* .

* .

* Change datasets used in examples from digits to breast_cancer.

* Fix codacy error

* Revert codacy error fixing

* [Debug] check if numpy causes error

* [Debug] experimenting with numpy

* [Debug] try to manually install libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug].

* [Debug].

* [Debug] .

* [Debug].

* [Debug].

* [Debug] used older numpy version

* [Debug] numpy

* [Debug] try numpy version 1.14.6

* [Debug] try different numpy version

* [Debug] Try with latest numpy version

* Set numpy version to 1.14.5

* Add argument for custom logger configuration. First commit, work in progress.

* Minor changes.

* Modify suggested changes [WIP]

* .

* .

* .

* .

* Fix minor details

* Fix travis not recognizing example_config.yaml

* .

* .

* .

* .

* .

* Fix codacy error

* Revert codacy error fixing

* [Debug] experimenting with numpy

* [Debug] try to manually install libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug].

* [Debug].

* [Debug] .

* [Debug].

* [Debug].

* [Debug] used older numpy version

* [Debug] try numpy version 1.14.6

* Delete libgcc_check.sh used for debugging.

* Fix numpy version and remove blank lines

* Fix line length in example_parallel.py

* Fix minor error
* Check target type at the beginning of the fitting process.

* .

* Fixed minor error in uniitest

* .

* Add unittest for target type checking.

* .

* .

* Change datasets used in examples from digits to breast_cancer.

* [Debug] try with numpy version 1.14.5

* [Debug] Check if numpy version 1.14.6 raises error.

* [Debug] try different numpy version

* [Debug] Try with latest numpy version

* Set numpy version to 1.14.5

* Check target type at the beginning of the fitting process.

* .

* Fixed minor error in uniitest

* .

* Add unittest for target type checking.

* .

* .

* [Debug] Check if numpy version 1.14.6 raises error.

* Fix numpy version to 1.14.5

* Add comment to Mock in test_type_of_target

* Fix line length in example_parallel.py

* Fix minor error
… of classifier in example_extend_preprocessing.py
Example extending auto-sklearn
* Extending Autosklearn. First commit.

* Add regression example

* CI: upper bound numpy version due to travis failures

* CI: upper bound numpy version due to travis failures

* use tempfile.gettempdir() (#521)

* use tempfile.gettempdir()

* follow quality review coding standards

* Remove a colon from README.md (#527)

* fixing warnings on non-tuple sequence for indexing (#526)

* fix string formatting (#540)

* FIX removing models wrt wrong metric in ensemble (#522)

* Add examples for extending auto-sklearn.

* .

* Change datasets used in examples from digits to breast_cancer.

* First commit

* Fixing codacy errors

* Fixing bug

* [Debug] try different numpy version

* [Debug] Try with latest numpy version

* Set numpy version to 1.14.5

* First commit

* Fixing bug

* Modify flake8_diff.sh

* Extending Autosklearn. First commit.

* Add regression example

* Add examples for extending auto-sklearn.

* .

* Fixing codacy errors

* Change example (#553)

* Change datasets used in examples from digits to breast_cancer.

* [Debug] try different numpy version

* [Debug] Try with latest numpy version

* Set numpy version to 1.14.5

* Fix line length in exanple_parallel.py

* [WIP]Add argument for custom logger configuration. (#505)

* Add argument for custom logger configuration. First commit, work in progress.

* Minor changes.

* Modify suggested changes [WIP]

* .

* .

* .

* .

* Fix minor details

* Fix travis not recognizing example_config.yaml

* .

* .

* .

* .

* .

* Change datasets used in examples from digits to breast_cancer.

* Fix codacy error

* Revert codacy error fixing

* [Debug] check if numpy causes error

* [Debug] experimenting with numpy

* [Debug] try to manually install libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug].

* [Debug].

* [Debug] .

* [Debug].

* [Debug].

* [Debug] used older numpy version

* [Debug] numpy

* [Debug] try numpy version 1.14.6

* [Debug] try different numpy version

* [Debug] Try with latest numpy version

* Set numpy version to 1.14.5

* Add argument for custom logger configuration. First commit, work in progress.

* Minor changes.

* Modify suggested changes [WIP]

* .

* .

* .

* .

* Fix minor details

* Fix travis not recognizing example_config.yaml

* .

* .

* .

* .

* .

* Fix codacy error

* Revert codacy error fixing

* [Debug] experimenting with numpy

* [Debug] try to manually install libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug] libgcc

* [Debug].

* [Debug].

* [Debug] .

* [Debug].

* [Debug].

* [Debug] used older numpy version

* [Debug] try numpy version 1.14.6

* Delete libgcc_check.sh used for debugging.

* Fix numpy version and remove blank lines

* Fix line length in example_parallel.py

* Fix minor error

* FIX #566: sort ensemble correctly (#567)

* Fix Line length in example_parallel.py

* Fix line length in example_parallel.py

* Fix minor error

* Fix codacy error "parameters differ from overriden 'fit' method"

* Check target type at the beginning of the fitting process. (#506)

* Check target type at the beginning of the fitting process.

* .

* Fixed minor error in uniitest

* .

* Add unittest for target type checking.

* .

* .

* Change datasets used in examples from digits to breast_cancer.

* [Debug] try with numpy version 1.14.5

* [Debug] Check if numpy version 1.14.6 raises error.

* [Debug] try different numpy version

* [Debug] Try with latest numpy version

* Set numpy version to 1.14.5

* Check target type at the beginning of the fitting process.

* .

* Fixed minor error in uniitest

* .

* Add unittest for target type checking.

* .

* .

* [Debug] Check if numpy version 1.14.6 raises error.

* Fix numpy version to 1.14.5

* Add comment to Mock in test_type_of_target

* Fix line length in example_parallel.py

* Fix minor error

* Update test_automl.py

* Add python 3.7to Travis, change python_requirement in setup.py.

* Add solver hyperparameter in MLP classifier example, increase runtime of classifier in example_extend_preprocessing.py

* Change all occurences of master to development in flake8_diff.sh

* numpy requirement is now >=1.9.0<=1.14.5

* Fix requirement inequality mistake

* change initial numpy version to 1.14.5.

* Deploy using travis instead of circle

* FIX error in travis.yml caused by stashing

* Test that deploy works.

* Debugging. Set local_dir to doc/development.

* Done Testing. Finalize the PR.

* Delete circle_install.sh
fix the bug of n_clusters not equals to len(cluster_centers)
* .

* .

* AutoSklearnClassifier/Regressor's fit, refit, fit_ensemble now return self.

* Initial commit. Work in Progress.

* Fix minor printing error in sprint_statistics.

* Revert "Fix#460"

* Raise error if ensemble is not built (#480)

* .

* .

* AutoSklearnClassifier/Regressor's fit, refit, fit_ensemble now return self.

* Initial commit. Work in Progress.

* Fix minor printing error in sprint_statistics.

* Revert "Fix#460"

* Resolve rebase conflict

* combined unittests to reduce travis runtime

* .

* .

* .

* .

* .

* ADD Auto-sklearn 0.4.1 release note to releases.rst
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codecov-io commented Nov 10, 2018

Codecov Report

Merging #579 into master will decrease coverage by 0.07%.
The diff coverage is 93.54%.

Impacted file tree graph

@@            Coverage Diff            @@
##           master    #579      +/-   ##
=========================================
- Coverage   78.68%   78.6%   -0.08%     
=========================================
  Files         130     130              
  Lines       10110   10120      +10     
=========================================
  Hits         7955    7955              
- Misses       2155    2165      +10
Impacted Files Coverage Δ
...arn/metalearning/metalearning/clustering/gmeans.py 0% <0%> (ø) ⬆️
autosklearn/automl.py 81.51% <100%> (-0.34%) ⬇️
autosklearn/__version__.py 100% <100%> (ø) ⬆️
autosklearn/pipeline/create_searchspace_util.py 93.95% <100%> (-0.16%) ⬇️
autosklearn/estimators.py 91% <100%> (+0.78%) ⬆️
autosklearn/ensemble_builder.py 79.42% <100%> (+0.17%) ⬆️
autosklearn/util/backend.py 79.12% <100%> (ø) ⬆️
autosklearn/util/logging_.py 88.88% <90%> (-1.59%) ⬇️
...mponents/feature_preprocessing/nystroem_sampler.py 85.29% <0%> (-5.89%) ⬇️
..._preprocessing/select_percentile_classification.py 86.2% <0%> (-3.45%) ⬇️
... and 2 more

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@mfeurer mfeurer merged commit fd0fe3f into master Nov 12, 2018
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8 participants