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[FIX] Additional metrics during training #316

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merged 4 commits into from
Nov 12, 2021

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ravinkohli
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This PR fixes #101

@ravinkohli ravinkohli added the bug Something isn't working label Nov 11, 2021
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codecov bot commented Nov 11, 2021

Codecov Report

Merging #316 (b990f8a) into development (e493d99) will decrease coverage by 0.23%.
The diff coverage is 84.21%.

Impacted file tree graph

@@               Coverage Diff               @@
##           development     #316      +/-   ##
===============================================
- Coverage        82.01%   81.78%   -0.24%     
===============================================
  Files              151      152       +1     
  Lines             8652     8669      +17     
  Branches          1322     1325       +3     
===============================================
- Hits              7096     7090       -6     
- Misses            1088     1113      +25     
+ Partials           468      466       -2     
Impacted Files Coverage Δ
autoPyTorch/evaluation/abstract_evaluator.py 76.00% <84.21%> (+1.21%) ⬆️
...eline/components/setup/optimizer/base_optimizer.py 71.42% <0.00%> (-19.05%) ⬇️
...abular_preprocessing/base_tabular_preprocessing.py 66.66% <0.00%> (-13.34%) ⬇️
...ne/components/setup/lr_scheduler/base_scheduler.py 86.20% <0.00%> (-6.90%) ⬇️
...up/network_initializer/base_network_initializer.py 93.54% <0.00%> (-6.46%) ⬇️
.../pipeline/components/setup/network/base_network.py 88.05% <0.00%> (-5.98%) ⬇️
...nts/setup/early_preprocessor/EarlyPreprocessing.py 85.71% <0.00%> (-5.72%) ⬇️
...ine/components/training/trainer/StandardTrainer.py 96.29% <0.00%> (-3.71%) ⬇️
...omponents/training/data_loader/base_data_loader.py 90.54% <0.00%> (-2.71%) ⬇️
autoPyTorch/pipeline/components/base_component.py 80.95% <0.00%> (-1.91%) ⬇️
... and 4 more

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@ravinkohli ravinkohli linked an issue Nov 11, 2021 that may be closed by this pull request
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@nabenabe0928 nabenabe0928 left a comment

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Thanks for the change.
I added two minor suggestions.

autoPyTorch/evaluation/abstract_evaluator.py Outdated Show resolved Hide resolved
self.fit_dictionary['runtime'] = self.budget
self.fit_dictionary.pop('epochs', None)
else:
raise ValueError(f"Unsupported budget type {self.budget_type} provided")
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Suggested change
raise ValueError(f"Unsupported budget type {self.budget_type} provided")
raise ValueError(f"budget type must be `epochs` or `runtime`, but got {self.budget_type}")

@nabenabe0928 nabenabe0928 merged commit 9559849 into automl:development Nov 12, 2021
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Additional metrics in the trainer
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