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[WIP] Restructuring the examples section #785

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merged 13 commits into from
Sep 30, 2019
Merged

[WIP] Restructuring the examples section #785

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86ee9b2
First commit of basic examples
ArlindKadra Sep 9, 2019
29d47a4
Fixing typo
ArlindKadra Sep 9, 2019
8e29a9e
Fixing pep8 violation and typo in extended examples
ArlindKadra Sep 10, 2019
ee9413d
Small fix to the original examples and initial idea of the basic exam…
ArlindKadra Sep 10, 2019
277a876
re-organize again to have the examples sorted correctly
mfeurer Sep 27, 2019
f5fe20d
remove accidentally submitted files
mfeurer Sep 27, 2019
3312e32
fix mistake I made when shuffling around files
mfeurer Sep 27, 2019
b34e048
add example placeholders
mfeurer Sep 27, 2019
780972d
minor
mfeurer Sep 27, 2019
25d59d4
rename example files so they are executed during documentation constr…
mfeurer Sep 27, 2019
b85bd42
Temporary solution to the failing flake8 check
ArlindKadra Sep 30, 2019
2df5b5a
Fixing typo
ArlindKadra Sep 30, 2019
f6d4880
Adding more info for the future
ArlindKadra Sep 30, 2019
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Fixing pep8 violation and typo in extended examples
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@ArlindKadra
ArlindKadra committed Sep 10, 2019
commit 8e29a9e035a22350231d9ebd589b006b8b3c560d
3 changes: 2 additions & 1 deletion examples/basic/tasks_tutorial.py
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Expand Up @@ -9,7 +9,8 @@
############################################################################
# Listing tasks

# Listing only supervised classification tasks (task type 1) from all `task types <https://www.openml.org/search?type=task_type>`_.
# Listing only supervised classification tasks (task type 1)
# from all `task types <https://www.openml.org/search?type=task_type>`_.
tasks_df = openml.tasks.list_tasks(task_type_id=1, output_format='dataframe')
tasks_df.head()

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2 changes: 1 addition & 1 deletion examples/flows_and_runs_tutorial.py
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Expand Up @@ -132,7 +132,7 @@
# The run may be stored offline, and the flow will be stored along with it:
run.to_filesystem(directory='myrun')

# They made later be loaded and uploaded
# They may be loaded and uploaded at a later time
run = openml.runs.OpenMLRun.from_filesystem(directory='myrun')
run.publish()

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