75a9d1c1b9
Add v2.6.5 to RELEASE_VERSIONS ( #1130 )
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2024-05-24 21:48:07 +00:00
51b147b35a
Refactor tabular tutorial to dynamically handle displaying exact duplicate sets ( #1128 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2024-05-24 21:26:07 +00:00
c72f0c2cdf
Remove deprecated multi_class argument in LogisticRegression and skip test for sklearn 1.5.0 regression ( #1124 )
2024-05-24 19:48:04 +00:00
4388992862
Remove unnecessary warnings during KNN graph correction ( #1129 )
2024-05-24 14:34:20 +00:00
25b7aaba7e
Improve KNN Graph Construction for Handling Exact Duplicates and Numerical Precision ( #1119 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2024-05-24 14:04:53 +00:00
a043470e34
Refine handling of underperforming_group issue type ( #1099 )
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Co-authored-by: Sanjana Garg <garg.sanjana.95@gmail.com >
Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2024-05-24 13:21:51 +00:00
4e2cafbc51
Update pip install instruction in object detection tutorial ( #1126 )
2024-05-23 15:07:17 +00:00
3effc12d6a
Improve null value checking by switching from np.isnan to pd.isna ( #1096 )
2024-05-23 02:34:29 +00:00
94ab29a46b
Enhance test coverage for setting Confident Joint in CleanLearning ( #1123 )
2024-05-22 16:31:18 +00:00
c13f32a2a6
Optimize value_counts function for performance improvement with missing classes ( #1073 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2024-05-21 21:30:33 +00:00
ca3892994e
Optimize multiannotator.py for performance ( #1077 )
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Co-authored-by: Hui Wen <45724323+huiwengoh@users.noreply.github.com >
2024-05-15 00:06:02 -04:00
71ba4b3209
Add a knn module ( #1117 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2024-05-14 13:59:15 -04:00
2870e194ce
Add end-to-end tests at the end of Datalab Quickstart tutorial ( #1118 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2024-05-14 14:30:20 +00:00
ab05f86dd4
Update links to tutorials in readme ( #1122 )
2024-05-14 00:27:40 +00:00
fda3413275
Bump cleanlab version to 2.6.5 post release ( #1121 )
2024-05-14 00:19:30 +00:00
81af417995
All identical datasets tests ( #1115 )
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2024-05-05 12:24:47 -07:00
2cd706976f
Use a safer value of median_nn_distance for division in duplicate.py ( #1116 )
2024-05-04 04:02:53 +00:00
3c6c9a107a
avoid sensitive divisions without ensuring denominator is not small ( #1114 )
2024-05-03 22:08:26 +00:00
b13d27e9b9
Fix numerical instability with Euclidean distance metric ( #1113 )
2024-05-02 13:24:58 +00:00
13442e2ed4
Use existing Datalab to audit new data for outliers ( #1112 )
2024-04-24 02:48:23 +00:00
f493b9953a
Optimize internal multilabel score ( #1106 )
2024-04-23 16:08:21 +00:00
09fed320f1
Optimize onehot2int for performance ( #1107 )
2024-04-23 14:03:55 +00:00
5bece29fc8
Temporarily Revert to macOS 12 in CI due to Incompatibility with Python 3.8 and 3.9 ( #1110 )
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Due to a migration in our CI environment from `macos-latest` to macOS 14 runner images, we've encountered a compatibility issue with Python 3.8 and 3.9. The new architecture of macOS 14 does not currently support these Python versions. While we expect future updates to resolve this, we will temporarily revert our CI to use macOS 12 to ensure continuity in our workflows.
2024-04-23 13:49:45 +00:00
2e9c4a958a
Remove unsqueeze call in image tutorial ( #1108 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2024-04-22 14:41:48 -07:00
94b99456e2
improved datalab issue type guide description for non iid issue ( #1102 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2024-04-19 14:38:02 -07:00
7660b450ca
Refine type hint in _process_find_label_issues_kwargs method ( #1101 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2024-04-19 14:28:40 +00:00
7b4b0690ae
Fix doctest issues in cleanlab/datalab/internal/issue_manager/label.py ( #1095 )
2024-04-12 10:12:52 +00:00
0221f8b0a1
Fix internal multilabel label ( #1087 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2024-04-10 21:24:18 +00:00
289872efb0
Remove sklearn install from tutorials ( #1091 )
2024-04-10 21:16:06 +00:00
7d1f335017
Improve performance of find_label_issues for segmentation ( #1067 )
2024-04-10 21:09:28 +00:00
ebc6987d73
shorten sidebar naming to fit to one-line
2024-04-09 00:10:30 -07:00
b39b0c41cc
data_valuation module docstring improvements
2024-04-08 15:42:36 -07:00
cbd5f789ba
some renaming of tutorials for clarity ( #1090 )
2024-04-08 15:38:29 -07:00
4846455b5c
in tutorials clarify difference between cleanlearning v datalab ( #1089 )
2024-04-08 15:17:07 -07:00
5eaeb983f1
cleanup docstrings for recently added summary.py kwargs ( #1088 )
2024-04-08 14:42:08 -07:00
cc319efea0
Add kwargs to functions that call plt.show() ( #1084 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2024-04-08 11:59:58 -07:00
e0b7615c11
Update typing import in outlier.py ( #1086 )
2024-04-06 04:10:12 +00:00
76dfdd23fa
Fix flaky test of outlier scores for identical examples ( #1079 )
2024-04-06 04:06:02 +00:00
1d5d3ccb5a
Fix typo in issue type description guide for Datalab ( #1085 )
2024-04-06 02:53:12 +00:00
a0f24add61
Use existing Datalab to audit additional new data ( #1049 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2024-04-06 02:51:59 +00:00
b751269fdc
Add user-facing cleanlab.data_valuation module ( #1050 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2024-04-04 01:48:20 +00:00
0c5d8cbb0b
CleanLearning tutorials sidebar ( #1066 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2024-03-29 18:29:39 -07:00
abd0924e61
Optimize segmentation/rank.py for performance and maintainability ( #1064 )
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Enhanced `get_label_quality_scores` and `issues_from_scores` efficiency, improving execution speed and memory usage.
2024-03-27 17:14:31 +00:00
52a1f32b64
Refine coverage omission list for experimental cleanlab modules ( #1062 )
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Updated the .coveragerc file to specify individual experimental module exclusions from coverage reporting, replacing the broad exclusion of all files under cleanlab/experimental. This allows for more granular control and visibility over coverage metrics.
2024-03-25 13:17:30 +00:00
5366e7a016
Bump version to 2.6.4 for development version ( #1061 )
2024-03-22 11:50:42 +00:00
b66a959547
Add v2.6.3 to RELEASE_VERSIONS ( #1058 )
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2024-03-19 19:08:40 +00:00
5bc33378f9
Add warning message about TensorFlow compatibility to docs ( #1057 )
2024-03-19 15:25:53 +00:00
2f2bc1fe18
Refine Scoring and Enhance Stability for Datasets with Identical Examples ( #1056 )
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Enhance numerical stability and scoring accuracy for datasets with identical features
- Adjust minimum median values to 100x machine epsilon to prevent unstable operations.
- Implement specific scoring logic for outlier and near-duplicate issues in datasets with identical features, ensuring correct scores are assigned in such edge cases.
- Introduce unit tests to validate the expected behavior for datasets comprising entirely identical examples. Check an additional case with an extra unique example.
Related to issue #1055 .
2024-03-19 12:41:49 +00:00
589edd6283
Merge pull request #1048 from sanjanag/image-key-docs
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Updated image_key documentation
2024-03-13 12:02:30 -07:00
dcb594df62
Merge pull request #1052 from elisno/downgrade-tf-2.15
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Downgrade Tensorflow to 2.15
2024-03-13 12:01:56 -07:00
Elías Snorrason