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b3b7867
Create first section: Creating Custom Flow
PGijsbers Jul 7, 2020
19d79d7
Add Section: Using the Flow
PGijsbers Jul 7, 2020
208f6cd
Allow run description text to be custom
PGijsbers Jul 10, 2020
2247bbc
Draft for Custom Flow tutorial
PGijsbers Jul 10, 2020
326510c
Add minimal docstring to OpenMLRun
PGijsbers Jul 10, 2020
872bd75
Process code review feedback
PGijsbers Jul 10, 2020
c3a5326
Use the format utility function in automatic runs
PGijsbers Jul 10, 2020
a7cb290
Process @mfeurer feedback
PGijsbers Jul 13, 2020
e5dcaf0
Rename arguments of list_evaluations (#933)
Bilgecelik Jul 14, 2020
1670050
adding config file to user guide (#931)
marcoslbueno Jul 14, 2020
9c93f5b
Edit api (#935)
sahithyaravi Jul 23, 2020
666ca68
Adding support for scikit-learn > 0.22 (#936)
Neeratyoy Aug 3, 2020
5d9c69c
Add flake8-print in pre-commit (#939)
22quinn Aug 3, 2020
7d51a76
Fix edit api (#940)
sahithyaravi Aug 7, 2020
75a5440
Update subflow paragraph
PGijsbers Aug 12, 2020
23a08ab
Check the ClassificationTask has class label set
PGijsbers Aug 14, 2020
95d1fcb
Test task is of supported type
PGijsbers Aug 17, 2020
41aa789
Add tests for format_prediction
PGijsbers Aug 17, 2020
5d2e0ce
Adding Python 3.8 support (#916)
Neeratyoy Aug 17, 2020
5ef24ab
Process feedback Neeratyoy
PGijsbers Aug 25, 2020
1ce5a12
Test Exception with Regex
PGijsbers Aug 28, 2020
f70c720
change edit_api to reflect server (#941)
sahithyaravi Aug 31, 2020
f8839de
Create first section: Creating Custom Flow
PGijsbers Jul 7, 2020
2a6903b
Add Section: Using the Flow
PGijsbers Jul 7, 2020
4802497
Allow run description text to be custom
PGijsbers Jul 10, 2020
7fb64b4
Draft for Custom Flow tutorial
PGijsbers Jul 10, 2020
a6f0a38
Add minimal docstring to OpenMLRun
PGijsbers Jul 10, 2020
3748ae0
Process code review feedback
PGijsbers Jul 10, 2020
5479d7b
Use the format utility function in automatic runs
PGijsbers Jul 10, 2020
4b71c30
Process @mfeurer feedback
PGijsbers Jul 13, 2020
942d66e
Update subflow paragraph
PGijsbers Aug 12, 2020
9ba363e
Check the ClassificationTask has class label set
PGijsbers Aug 14, 2020
a72053d
Test task is of supported type
PGijsbers Aug 17, 2020
de31490
Add tests for format_prediction
PGijsbers Aug 17, 2020
832f437
Process feedback Neeratyoy
PGijsbers Aug 25, 2020
3cc74de
Test Exception with Regex
PGijsbers Aug 28, 2020
03e1e8b
Merge branch 'feature_#753' of https://github.com/openml/openml-pytho…
PGijsbers Sep 1, 2020
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Process feedback Neeratyoy
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PGijsbers committed Aug 25, 2020
commit 5ef24ab2d5c88aba728496cbd7c324b4aa2e33c3
7 changes: 4 additions & 3 deletions examples/30_extended/custom_flow_tutorial.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,8 @@
================================

The most convenient way to create a flow for your machine learning workflow is to generate it
automatically as described in <>. However, there are scenarios where this is not possible, such
automatically as described in the `Obtain Flow IDs <https://openml.github.io/openml-python/master/examples/30_extended/flow_id_tutorial.html#sphx-glr-examples-30-extended-flow-id-tutorial-py>`_ tutorial. # noqa E501
However, there are scenarios where this is not possible, such
as when the flow uses a framework without an extension or when the flow is described by a script.

In those cases you can still create a custom flow by following the steps of this tutorial.
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####################################################################################################
# Next we define the flow hyperparameters. We define their name and default value in `parameters`,
# and provide meta-data for each hyperparameter through `parameters_meta_info`.
# Note that eventhough the argument name is `parameters` they describe the hyperparameters.
# Note that even though the argument name is `parameters` they describe the hyperparameters.
# The use of ordered dicts is required.

flow_hyperparameters = dict(
Expand All @@ -79,7 +80,7 @@
#
# In this example, the auto-sklearn flow is a subflow: the auto-sklearn flow is entirely executed as part of this flow.
# This allows people to specify auto-sklearn hyperparameters used in this flow.
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# Using a subflow is not required.
# In general, using a subflow is not required.
#
# Note: flow 15275 is not actually the right flow on the test server,
# but that does not matter for this demonstration.
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