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Option to return dataframes for listing functions #662
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Codecov Report
@@ Coverage Diff @@
## develop #662 +/- ##
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- Coverage 90.5% 90.35% -0.16%
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Files 36 36
Lines 3730 3785 +55
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+ Hits 3376 3420 +44
- Misses 354 365 +11
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mfeurer
approved these changes
Apr 30, 2019
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What does this PR implement/fix? Explain your changes.
Addresses #364.
An optional parameter has been added to the
get_Xfunctions calledoutput_format. Which is by defaultdictso that nothing breaks. Whenoutput_format='dataframe'the output is a pandas data frame.How should this PR be tested?
The following commands should suffice in demonstrating the change:
openml.datasets.list_datasets(size=10)openml.datasets.list_datasets(size=10, output_format='dataframe')openml.tasks.list_tasks(task_type_id=1, size = 10)openml.tasks.list_tasks(task_type_id=1, size = 10, output_format='dataframe')openml.evaluations.list_evaluations('predictive_accuracy', size = 10)openml.evaluations.list_evaluations('predictive_accuracy', size = 10, output_format='object')openml.evaluations.list_evaluations('predictive_accuracy', size = 10, output_format='dataframe')openml.flows.list_flows(size=10)openml.flows.list_flows(size=10, output_format='dataframe')openml.runs.list_runs(size=10)openml.runs.list_runs(size=10, output_format='dataframe')openml.setups.list_setups(size=10)openml.setups.list_setups(size=10, output_format='object')openml.setups.list_setups(size=10, output_format='dataframe')Any other comments?
output_formatincluding the_list_allin utils.py.