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Update dask requirement, disabled example (#1356)
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eddiebergman authored Dec 24, 2021
1 parent e21047a commit cd4fef9
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2 changes: 1 addition & 1 deletion autosklearn/__version__.py
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"""Version information."""

# The following line *must* be the last in the module, exactly as formatted:
__version__ = "0.14.2"
__version__ = "0.14.3"
2 changes: 1 addition & 1 deletion doc/conf.py
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#},
'backreferences_dir': None,
'filename_pattern': 'example.*.py$',
'ignore_pattern': r'custom_metrics\.py|__init__\.py',
'ignore_pattern': r'custom_metrics\.py|__init__\.py|example_parallel_manual_spawning_python.py',
'binder': {
# Required keys
'org': 'automl',
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12 changes: 11 additions & 1 deletion doc/releases.rst
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Releases
========

Version 0.14.3
==============

* HOTFIX #1356: Updates dask to ``dask.distributed >=2012.12``.

Contributors v0.14.3
********************

* Eddie Bergman

Version 0.14.2
==============

Expand All @@ -35,7 +45,7 @@ Version 0.14.1
Contributors v0.14.1
********************

* Edward Bergman
* Eddie Bergman
* Michael Becker
* Katharina Eggensperger

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10 changes: 8 additions & 2 deletions examples/60_search/example_parallel_manual_spawning_cli.py
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This example shows how to start the dask scheduler and spawn
workers for *Auto-sklearn* manually from the command line. Use this example
as a starting point to parallelize *Auto-sklearn* across multiple
machines. If you want to start everything manually from within Python
please see :ref:`sphx_glr_examples_60_search_example_parallel_manual_spawning_python.py`.
machines.
To run *Auto-sklearn* in parallel on a single machine check out the example
:ref:`sphx_glr_examples_60_search_example_parallel_n_jobs.py`.
If you want to start everything manually from within Python
please see ``:ref:sphx_glr_examples_60_search_example_parallel_manual_spawning_python.py``.
**NOTE:** Above example is disabled due to issue https://github.com/dask/distributed/issues/5627
You can learn more about the dask command line interface from
https://docs.dask.org/en/latest/setup/cli.html.
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2 changes: 2 additions & 0 deletions examples/60_search/example_parallel_manual_spawning_python.py
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===================================================
Parallel Usage: Spawning workers from within Python
===================================================
**NOTE**: Disabled due to issue https://github.com/dask/distributed/issues/5627
*Auto-sklearn* uses
`dask.distributed <https://distributed.dask.org/en/latest/index.html>`_
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4 changes: 2 additions & 2 deletions requirements.txt
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Expand Up @@ -7,8 +7,8 @@ scipy>=1.7.0
joblib
scikit-learn>=0.24.0,<0.25.0

dask<2021.07
distributed>=2.2.0,<2021.07
dask>=2021.12
distributed>=2012.12

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@lorepirri

lorepirri Aug 7, 2024

@eddiebergman is this 2021 vs 2012?

distributed>=2021.12
pyyaml
pandas>=1.0
liac-arff
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