Warning: This build has drifted.
The coverage report for this pull request build may be inaccurate because its base commit is no longer the HEAD of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.
• Learn more: For more information on this, see Tracking coverage changes for pull request builds.
• Fix now: For a quick fix, rebase this PR at GitHub. Your next report should be accurate.
• Prevent going forward: To avoid this issue with future PRs, see these Recommended CI Configurations.
The coverage report for this pull request build may be inaccurate because its base commit is no longer the HEAD of its target branch. This means it includes changes from outside the original pull request, including, potentially, unrelated coverage changes.
• Learn more: For more information on this, see Tracking coverage changes for pull request builds.
• Fix now: For a quick fix, rebase this PR at GitHub. Your next report should be accurate.
• Prevent going forward: To avoid this issue with future PRs, see these Recommended CI Configurations.
New Repo Setting:
INCLUDE COVERAGE % WITH WARNINGS ABOUT DRIFTED BUILDS?
INCLUDE COVERAGE % WITH WARNINGS ABOUT DRIFTED BUILDS?
Enabling this setting will include a (potentially inaccurate) coverage % with warning messages in status updates for drifted builds.
Adjust setting
ploomber
/
sklearn-evaluation
/
4294813512
91%
master: 91%
master: 91%
|
Ran
|
Jobs
15
|
Files
52
|
Run time
1s
|
Badge
Embed ▾
README BADGES
|
coverage: 90.93% (-4.2%) from 95.106%
github
GitHub
3118 of 3429 relevant lines covered (90.93%)
13.64 hits per line
Uncovered Existing Lines
| Lines | Coverage | ∆ | File |
|---|---|---|---|
| 4 |
94.74 |
-3.01% | src/sklearn_evaluation/plot/precision_recall.py |
| 5 |
91.2 |
-4.0% | src/sklearn_evaluation/plot/calibration.py |
| 7 |
89.39 |
0.0% | src/sklearn_evaluation/grid/random_forest_classifier_grid.py |
| 10 |
93.64 |
-5.78% | src/sklearn_evaluation/plot/classification.py |
| 11 |
80.56 |
-15.28% | src/sklearn_evaluation/plot/matplotlib/bar.py |
| 16 |
23.81 |
-76.19% | src/sklearn_evaluation/plot/matplotlib/heatmap.py |
| 27 |
21.62 |
-72.97% | src/sklearn_evaluation/plot/matplotlib/data_grid.py |
| 31 |
70.48 |
-29.52% | src/sklearn_evaluation/plot/classification_report.py |
Jobs
| ID | Job ID | Ran | Files | Coverage | |
|---|---|---|---|---|---|
| 1 | 4294813512.1 | 52 |
90.93 |
||
| 2 | 4294813512.2 | 52 |
90.93 |
||
| 3 | 4294813512.3 | 52 |
90.93 |
||
| 4 | 4294813512.4 | 52 |
90.93 |
||
| 5 | 4294813512.5 | 52 |
90.93 |
||
| 6 | 4294813512.6 | 52 |
90.93 |
||
| 7 | 4294813512.7 | 52 |
90.93 |
||
| 8 | 4294813512.8 | 52 |
90.93 |
||
| 9 | 4294813512.9 | 52 |
90.93 |
||
| 10 | 4294813512.10 | 52 |
90.93 |
||
| 11 | 4294813512.11 | 52 |
90.93 |
||
| 12 | 4294813512.12 | 52 |
90.93 |
||
| 13 | 4294813512.13 | 52 |
90.93 |
||
| 14 | 4294813512.14 | 52 |
90.93 |
||
| 15 | 4294813512.15 | 52 |
90.93 |
