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Update for release #335

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merged 7 commits into from
Nov 22, 2021
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ravinkohli
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This PR includes changes necessary for release v0.1.0.

  1. It updates the readme with a small example as well as a note about using v0.0.2.
  2. Adds CITATION.cff.
  3. Adds workflow that will push to PyPI in case we add a tag to a commit.
  4. Updates email at setup.py.

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codecov bot commented Nov 19, 2021

Codecov Report

Merging #335 (6f61732) into development (1e06cce) will decrease coverage by 0.04%.
The diff coverage is n/a.

Impacted file tree graph

@@               Coverage Diff               @@
##           development     #335      +/-   ##
===============================================
- Coverage        82.18%   82.13%   -0.05%     
===============================================
  Files              153      153              
  Lines             8812     8812              
  Branches          1341     1341              
===============================================
- Hits              7242     7238       -4     
- Misses            1105     1107       +2     
- Partials           465      467       +2     
Impacted Files Coverage Δ
autoPyTorch/api/base_task.py 83.23% <ø> (ø)
autoPyTorch/api/tabular_classification.py 87.50% <ø> (ø)
autoPyTorch/api/tabular_regression.py 96.87% <ø> (ø)
setup.py 0.00% <ø> (ø)
...nts/setup/network_backbone/ConvNetImageBackbone.py 96.15% <0.00%> (-3.85%) ⬇️
autoPyTorch/ensemble/ensemble_builder.py 72.32% <0.00%> (-0.84%) ⬇️
...mponents/setup/network_head/fully_convolutional.py 98.00% <0.00%> (+4.00%) ⬆️

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@nabenabe0928 nabenabe0928 left a comment

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I added minor comments and after addressing those comments, we can merge it

@@ -23,7 +23,7 @@
name="autoPyTorch",
version="0.1.0",
author="AutoML Freiburg",
author_email="zimmerl@informatik.uni-freiburg.de",
author_email="eddiebergmanhs@gmail.com",
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Shouldn't it be a freiburg email address?

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I asked for his email address for this purpose and that's what he gave me. I think its fine.

Comment on lines 246 to 247
do not save the predictions for the optimization/validation set,
which would later on be used to build an ensemble.
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Suggested change
do not save the predictions for the optimization/validation set,
which would later on be used to build an ensemble.
which would later on be used to build an ensemble.
Note that SMAC optimizes a metric evaluated on the optimization (i.e. validation) set.


+ `y_optimization`:
do not save the predictions for the optimization/validation set,
which would later on be used to build an ensemble.
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Suggested change
which would later on be used to build an ensemble.
which would later on be used to build an ensemble.
Note that SMAC optimizes a metric evaluated on the optimization (i.e. validation) set.

README.md Outdated
Comment on lines 58 to 59
X_test=X_test.copy(),
y_test=y_test.copy(),
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Do we still need copy()?

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yeah we don't, I'll remove it

@nabenabe0928
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Hello, I think we can merge this PR.

@ravinkohli ravinkohli merged commit a676c2b into automl:development Nov 22, 2021
github-actions bot pushed a commit that referenced this pull request Nov 22, 2021
ravinkohli added a commit that referenced this pull request Nov 23, 2021
* [enhance] Increase the coverage (#336)

* [feat] Support statistics print by adding results manager object (#334)

* [feat] Support statistics print by adding results manager object

* [refactor] Make SearchResults extract run_history at __init__

Since the search results should not be kept in eternally,
I made this class to take run_history in __init__ so that
we can implicitly call extraction inside.
From this change, the call of extraction from outside is not recommended.
However, you can still call it from outside and to prevent mixup of
the environment, self.clear() will be called.

* [fix] Separate those changes into PR#336

* [fix] Fix so that test_loss includes all the metrics

* [enhance] Strengthen the test for sprint and SearchResults

* [fix] Fix an issue in documentation

* [enhance] Increase the coverage

* [refactor] Separate the test for results_manager to organize the structure

* [test] Add the test for get_incumbent_Result

* [test] Remove the previous test_get_incumbent and see the coverage

* [fix] [test] Fix reversion of metric and strengthen the test cases

* [fix] Fix flake8 issues and increase coverage

* [fix] Address Ravin's comments

* [enhance] Increase the coverage

* [fix] Fix a flake8 issu

* Update for release (#335)

* Create release workflow and CITATION.cff  and update README, setup.py

* fix bug in pypy token

* fix documentation formatting

* TODO for docker image

* accept suggestions from shuhei

* add further options for disable_file_output documentation

* remove  from release.yml

* [feat] Add templates for issue and PR with the Ravin's suggestions (#136)

* [doc] Add the workflow of the Auto-Pytorch (#285)

* [doc] Add workflow of the AutoPytorch

* [doc] Address Ravin's comment

* [FIX] Silence catboost (#338)

* set verbose=False in catboost

* fix flake

* change worst possible result of r2 (#340)

* Update README.md with link for master branch

* [FIX formatting in docs (#342)

* fix formatting in docs

* Update examples/40_advanced/example_resampling_strategy.py

* Update README.md, remove cat requirements.txt

Co-authored-by: nabenabe0928 <47781922+nabenabe0928@users.noreply.github.com>
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2 participants