Adding __repr__ to top level classes #739
Closed
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Reference Issue
Addresses #75.
What does this PR implement/fix? Explain your changes.
Adds a repr for each of the top-level classes in OpenML.
How should this PR be tested?
In Ipython:
d = openml.datasets.get_dataset(523); df = openml.flows.get_flow(3740); fr = openml.runs.get_run(10000); rt = openml.tasks.get_task(31); ts = openml.study.get_study(16); sb = openml.study.get_suite(218); bs = openml.setups.get_setup(10); ss.parameters[190]e = openml.evaluations.list_evaluations(function='predictive_accuracy', task=[31], size=10)e[51]