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@mfeurer mfeurer commented Aug 19, 2019

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Neeratyoy and others added 30 commits May 27, 2019 13:51
Disable a unit test which currently has a serverside issue.
Adding object summary (str representation)
Adding documentation for _convert_array_format output parameter
sahithyaravi and others added 23 commits July 23, 2019 13:36
* Function to trim flownames for scikit-learn flows.

* max_length -> extra trim length rename

* Flake.

* Fix typo in test which is no longer allowed with Pytest 5.0.0

* Allow long names from other modules.

* Update test to reflect we allow non-sklearn pipelines now.

* [skip-CI] Flake8.

* Allow to ignore custom name when checking if flows are equal. Allow difference on upload.

* Propegate ignore_custom_name_if_none in assert_flows_equal

* Allow model_selection in pipeline or pipeline in model_selection

* Flake8

* reinstantiate wrong version tests against live and has 0.20 support

* [skip-ci] Remove commented out code.

* Disable test_get_flow_reinstantiate_model_wrong_version for sklearn 0.19

* Process feedback.
make ci log more readable, catch matrix subclass warning
* replace __str__ by __repr__

* try to make regex work on windows?

* maybe now the windows regex matches newline with dot?

* I have no idea how that passed
* Added documentation for creating tasks

* PEP8 fix

* Pleasing PEP8

* Pleasing PEP8

* bugfix

* use test server IDs

* Upload new dataset to properly test task creation

* fixing dataset upload

* trailing whitespace madness

* fix unit test

It failed when the random task already existed.

* Update test_clustering_task.py

* PEP8

* activate dataset

* Resolved review comments and reworked example

* Making suggested changes; Removing pprint; Using numpy to filter

* Returning to prod server after example
* add sklearn version to external version in sklearn flows,
explicitly handle extension in flow creation

* use dummy classifier instead of linear regression

* use MyDummy instead of MyLR

* typo aaah

* all the typos

* use custom pipeline instead of dummy class because sklearn 0.18 can't handle NaNs
* improve examples

* update year in license file

* fix unit test
* test against scikit-learn 0.21

* fix call to roc_auc

* added verbose parameter to pipeline in 0.21

* remove no-longer-existant categorical_features paramter

* more pipeline parameter checks

* more imputer replacements

* don't break on dev versions

* typo on roc_auc_score name

* use ordered dicts, avoid nan comparison

* undid weird merge artifact

* add missing file whoops

* flake8

* try fixing import in backport, pep8

* move SimpleImputer to testing module

* don't trust dicts to be ordered

* run CI mostly on 0.21.2

* failed to safe lol
# Conflicts:
#	doc/progress.rst
#	tests/test_flows/test_flow_functions.py
* Remove Py3.4 classifier, add python_requires

* Remove space.
* Adding flaky rerun decorators for stochastic failures

* Increasing number of repeats for stochastic failures

* Increasing retries; Fixing PEP8

* Small update to logging behaviour for unit testing

* Increasing retries till it works

* Fixing unit test waiting for server processing

* Revamping deletion of files after unit tests

* Adding comments/descriptions

* Debugging

* Debugging

* Fixing directory issue for test cases

* Doubling wait time for test_run_and_upload_gridsearch

* Removing semaphore implementation

* Fixing path issue for appveyor tests

* Debugging appveyor path

* Fixing PEP8

* Fixing test_list_datasets_with_high_size_parameter

* PEP8 fix

* Removing logging to disk
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codecov-io commented Aug 19, 2019

Codecov Report

❗ No coverage uploaded for pull request base (master@8efcf9d). Click here to learn what that means.
The diff coverage is 52.88%.

Impacted file tree graph

@@            Coverage Diff            @@
##             master     #765   +/-   ##
=========================================
  Coverage          ?   87.67%           
=========================================
  Files             ?       36           
  Lines             ?     4072           
  Branches          ?        0           
=========================================
  Hits              ?     3570           
  Misses            ?      502           
  Partials          ?        0
Impacted Files Coverage Δ
openml/datasets/__init__.py 100% <ø> (ø)
openml/study/functions.py 88.23% <ø> (ø)
openml/setups/setup.py 42.3% <10%> (ø)
openml/runs/trace.py 90.75% <100%> (ø)
openml/exceptions.py 93.75% <100%> (ø)
openml/extensions/sklearn/extension.py 91.34% <100%> (ø)
openml/__version__.py 100% <100%> (ø)
openml/evaluations/__init__.py 100% <100%> (ø)
openml/tasks/functions.py 84.93% <100%> (ø)
openml/utils.py 91.13% <100%> (ø)
... and 12 more

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@mfeurer mfeurer merged commit 0f36642 into master Aug 19, 2019
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9 participants