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Updating ML benchmarks #154

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Updating ML benchmarks #154

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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

Neeratyoy added 30 commits June 23, 2021 20:32
@Neeratyoy Neeratyoy requested a review from PhMueller May 30, 2022 13:11
@Neeratyoy Neeratyoy changed the base branch from master to development May 30, 2022 14:03
@Neeratyoy Neeratyoy changed the base branch from development to mo_experiments June 4, 2022 19:26
Neeratyoy added a commit that referenced this pull request Jun 6, 2022
Neeratyoy and others added 10 commits August 31, 2022 14:59
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 <[email protected]>
* 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
* 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 <[email protected]>
Co-authored-by: ayushi-3536 <[email protected]>
Co-authored-by: Dominik Woiwode <[email protected]>
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3 participants