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@mfeurer mfeurer commented Dec 3, 2020

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Codecov Report

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

Impacted file tree graph

@@               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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@mfeurer mfeurer force-pushed the sklearn024 branch 2 times, most recently from 56dcd9d to 1b2dfd4 Compare December 7, 2020 09:53
* 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 <[email protected]>
@mfeurer mfeurer merged commit 288a770 into development Dec 11, 2020
@mfeurer mfeurer deleted the sklearn024 branch December 11, 2020 14:49
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2 participants