Prepare to move to scikit-learn 0.24 #1024

mfeurer · 2020-12-03T11:57:21Z

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codecov · 2020-12-03T12:21:50Z

Codecov Report

Merging #1024 (9c12762) into development (ef9ef49) will increase coverage by 0.15%.
The diff coverage is 95.70%.

@@               Coverage Diff               @@
##           development    #1024      +/-   ##
===============================================
+ Coverage        85.41%   85.56%   +0.15%     
===============================================
  Files              125      127       +2     
  Lines             9891    10151     +260     
===============================================
+ Hits              8448     8686     +238     
- Misses            1443     1465      +22

Impacted Files	Coverage Δ
autosklearn/experimental/askl2.py	`84.03% <ø> (+2.11%)`	⬆️
...ine/components/feature_preprocessing/kernel_pca.py	`94.73% <ø> (ø)`
...osklearn/pipeline/components/classification/mlp.py	`94.95% <94.95%> (ø)`
autosklearn/pipeline/components/regression/mlp.py	`95.86% <95.86%> (ø)`
autosklearn/automl.py	`84.72% <100.00%> (-0.16%)`	⬇️
autosklearn/evaluation/abstract_evaluator.py	`88.61% <100.00%> (+0.18%)`	⬆️
autosklearn/metalearning/metalearning/meta_base.py	`88.00% <100.00%> (+0.16%)`	⬆️
autosklearn/pipeline/classification.py	`86.88% <100.00%> (ø)`
...ata_preprocessing/category_shift/category_shift.py	`95.65% <100.00%> (ø)`
...preprocessing/imputation/categorical_imputation.py	`95.83% <100.00%> (ø)`
... and 13 more

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* prepare for sklearn release 0.24 * temporarily disable dependency chekcs * fix unit tests * follow sklearn convention for dummy models * ADD MLP classifier * comment out unused code * ADD mlp for regression * FIX unittests * FIX alpha range; self.fully_fit_ * FIX precision for unittests * FIX too high precision in unittest * ADD MLP classifier * comment out unused code * ADD mlp for regression * FIX #hypers * FIX alpha range; self.fully_fit_ * FIX precision for unittests * FIX too high precision in unittest * ADD mlp for classification * ADD mlp for regression * minor * rename fully_fit_ to _fully_fit * RM unecessary file * FIX #hypers * FIX assertion error by decreasing precision * FIX comments * FIX activation functions for mlp regression * FIX unittests * relax tests a bit * forbid mlp+kernel approximation * add mlps to askl2 * fix dependency parsing (again) Co-authored-by: Matthias Feurer <feurerm@informatik.uni-freiburg.de>

mfeurer force-pushed the sklearn024 branch 2 times, most recently from 56dcd9d to 1b2dfd4 Compare December 7, 2020 09:53

mfeurer added 4 commits December 8, 2020 14:21

prepare for sklearn release 0.24

941f73a

temporarily disable dependency chekcs

ea33ed2

fix unit tests

879eb21

follow sklearn convention for dummy models

d327bc3

mfeurer force-pushed the sklearn024 branch from 1b2dfd4 to d327bc3 Compare December 8, 2020 13:22

mfeurer merged commit 288a770 into development Dec 11, 2020

mfeurer deleted the sklearn024 branch December 11, 2020 14:49

github-actions bot pushed a commit that referenced this pull request Dec 11, 2020

Matthias Feurer: Prepare to move to scikit-learn 0.24 (#1024)

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Prepare to move to scikit-learn 0.24 #1024

Prepare to move to scikit-learn 0.24 #1024

mfeurer commented Dec 3, 2020

codecov bot commented Dec 3, 2020 •

edited

Prepare to move to scikit-learn 0.24 #1024

Prepare to move to scikit-learn 0.24 #1024

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mfeurer commented Dec 3, 2020

codecov bot commented Dec 3, 2020 • edited

Codecov Report

codecov bot commented Dec 3, 2020 •

edited