Updating ML benchmarks #154
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Neeratyoy
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May 30, 2022
Neeratyoy
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- Added option to record Learning Curves
- Bug fix: new tabular data collected by training on train set and evaluating on validation set
…into thesis-paper
Neeratyoy
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Jun 6, 2022
Make installable for Python 3.10.6 * Add 3.10 to test pipeline * Remove upper Python version limit * Change python-versions to strings * Surround action python-version with quotation marks * Install paramnet dependencies only for Python <= 3.9 * Disable local paramnet test for Python > 3.9 Co-authored-by: Dominik Woiwode <dwoiwode@users.noreply.github.com>
* Speed up tests by disabling slow tests.
* Refactor: Rename AbstractBenchmark Class
* Update 201 version 0.0.6 - scale the misclassification rate form 0 to 100 -> 0 and 1 - Update test cases - link to the correct container version - Fix Nas201 Test Cases - remove a Github action trigger. It started all test cases twice. - Fix GithubActions: Install correct xgboost version for 3.10
* Nas101 v.0.0.5 * Nas1shot1 v.0.0.5 * Test Cases for 101
Update to 0.0.2
* Yahpo Raw: You can run fair/iml/rbv2 experiments from yahpo. The installation is quite complicated and described in the recipe. * Introduce YAHPO Surrogate V0.0.2 It also goes hand in hand with an update for the yahpo surrogate benchmarks. --------- Co-authored-by: ayushi-3536 <77584036+ayushi-3536@users.noreply.github.com> Co-authored-by: ayushi-3536 <ayushi-3536@github.com> Co-authored-by: Dominik Woiwode <dwoiwode@users.noreply.github.com>
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