adaptive-machine-learning / CapyMOA / 38340505370
84%
main: 84%

LAST BUILD BRANCH: feat/python-base-learner-in-ensembles
DEFAULT BRANCH: main
Ran
Jobs 1
Files 232
Run time 1min
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coverage: 83.899% (+0.1%) from 83.79%
38340505370

Pull #458

github

web-flow 
Merge fd9125009 into c069033c9
Pull Request #458: feat: accept Python base learners in MOA ensembles

292 of 336 new or added lines in 14 files covered. (86.9%)

58 existing lines in 7 files now uncovered.

11537 of 13751 relevant lines covered (83.9%)

0.84 hits per line

Uncovered Changes

Lines Coverage ∆ File
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80.9
src/capymoa/core/moa/_python_proxy.py
4
59.7
8.64% src/capymoa/classifier/_srp.py
2
74.63
6.63% src/capymoa/classifier/_adaptive_random_forest.py
2
62.16
-2.54% src/capymoa/classifier/_leveraging_bagging.py
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62.16
-2.54% src/capymoa/classifier/_online_adwin_bagging.py

Coverage Regressions

Lines Coverage ∆ File
21
59.7
8.64% src/capymoa/classifier/_srp.py
16
74.63
6.63% src/capymoa/classifier/_adaptive_random_forest.py
6
62.16
-2.54% src/capymoa/classifier/_leveraging_bagging.py
6
62.16
-2.54% src/capymoa/classifier/_online_adwin_bagging.py
4
95.29
0.11% src/capymoa/base/_classifier.py
3
94.92
0.0% src/capymoa/base/_regressor.py
2
83.33
22.04% src/capymoa/classifier/_online_bagging.py
Jobs
ID Job ID Ran Files Coverage
1 38340505370.1 232
83.9
GitHub Action Run
Source Files on build 38340505370