Add example rijn #803
Add example rijn #803
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| for idx, task_id in enumerate(suite.tasks): | ||
| logging.info('Starting with task %d (%d/%d)' % (task_id, idx+1, len(suite.tasks))) | ||
| evals = openml.evaluations.list_evaluations_setups( | ||
| evaluation_measure, flow=[flow_id], task=[task_id], size=limit_per_task, output_format='dataframe') |
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Don't you also have to limit by the uploader or study?
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the filtering for study is implicit, (as we enumerate over tasks from the suite).
as openml is a collaborative platform, we should in theory not care about who uploaded the results. if we did our job right, the results will be consistent
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True, do you think it would make sense to specifically note this in the example?
Codecov Report
@@ Coverage Diff @@
## develop #803 +/- ##
===========================================
+ Coverage 87.71% 88.03% +0.31%
===========================================
Files 36 36
Lines 4234 4363 +129
===========================================
+ Hits 3714 3841 +127
- Misses 520 522 +2
Continue to review full report at Codecov.
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| for idx, task_id in enumerate(suite.tasks): | ||
| logging.info('Starting with task %d (%d/%d)' % (task_id, idx+1, len(suite.tasks))) | ||
| evals = openml.evaluations.list_evaluations_setups( | ||
| evaluation_measure, flow=[flow_id], task=[task_id], size=limit_per_task, output_format='dataframe') |
There was a problem hiding this comment.
True, do you think it would make sense to specifically note this in the example?
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Everything excepts for a random failure at appveyor:
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Reference Issue
What does this PR implement/fix? Explain your changes.
How should this PR be tested?
Any other comments?