980c6ddc07
Extend package support Python 10-14 + relax dependencies ( #1276 )
2026-01-07 14:11:40 -08:00
0167accd0a
license ( #1263 )
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change license to Apache 2.0
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Co-authored-by: Anish Athalye <me@anishathalye.com >
2025-12-15 16:56:30 -08:00
bed10f5bdf
Fix numpy2 compatibility ( #1224 )
2025-01-10 20:06:05 -08:00
c915f77642
Improve performance of clip_values utility function( #1104 )
2024-07-02 15:08:20 +00:00
e67c4aeedd
Optimize internal clip_noise_rates and remove_noise_from_class functions ( #1105 )
2024-07-02 15:06:02 +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
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
3c6c9a107a
avoid sensitive divisions without ensuring denominator is not small ( #1114 )
2024-05-03 22:08:26 +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
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
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
22dd845c48
add bbox area computation ( #968 )
2024-01-25 20:21:06 -08:00
51de77768d
Multilabel Issue Manager for Classification ( #929 )
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* Add Multilabel label issue manager
* Add task validation in Datalab constructor
* Add type checks for labels in issue managers
* Refactor code to use Datalab for finding label issues in multi-label classification tutorial
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2024-01-24 00:14:04 +00:00
15bec56103
Rescale ood scores in outlier package ( #953 )
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Co-authored-by: Ulyana <ulya.tkach@gmail.com >
2024-01-17 17:42:23 +00:00
0a03742f52
Refactor batching logic in cleanlab.segmentation.filter.find_label_issues ( #918 )
2024-01-08 11:30:25 +00:00
e90dea60c7
702 - Shorten Refs of classes and functions ( #831 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
Co-authored-by: tataganesh <tataganesh95@gmail.com >
2023-12-07 13:37:16 +00:00
902fb487c9
Functions to explore object detection dataset ( #840 )
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Add dataset summary functions+plots to object detection.
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
Co-authored-by: Ulyana <ulyana@cleanlab.ai >
2023-10-16 13:17:05 -07:00
4ce9f771c8
Unify softmax implementations ( #826 )
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* unify softmax implementations
* Refine mypy type hint in _set_fine_search_range function
- Update type hint for `min_entropy_ind` from built-in `int` to `np.intp`.
- This refinement addresses a type compatibility warning.
- `np.intp` is the integer type used by numpy for indexing and can differ in size from the built-in Python `int` depending on the platform (32-bit vs 64-bit).
- Mypy highlighted this type hint discrepancy.
* add unit tests for softmax
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Co-authored-by: Hui Wen <45724323+huiwengoh@users.noreply.github.com >
2023-08-30 00:22:05 +00:00
a497b38c28
change thresholding class-wise for ObjectLab ( #804 )
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* Adding support for per-class thresholding for ObjectLab
2023-08-26 05:06:00 +05:30
0adce8290f
50x speedup for multiannotator module ( #821 )
2023-08-16 18:39:06 -07:00
b9102017bd
Add more descriptive error messages for multiannotator modules ( #784 )
2023-07-27 14:25:19 -04:00
cb51891b06
lowering swap score for multiple labels associated with a box ( #750 )
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* Lower swap scores for overlapping annotations + Optional arguments correction
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
Co-authored-by: Ulyana <ulya.tkach@gmail.com >
2023-07-12 20:29:20 +05:30
cb4c05cbff
Add support for high dimensional arrays in CleanLearning( #749 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
Co-authored-by: Hui Wen <45724323+huiwengoh@users.noreply.github.com >
2023-06-27 00:12:52 -04:00
9f302200a4
Regression label quality scores ( #572 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
Co-authored-by: huiwengoh <45724323+huiwengoh@users.noreply.github.com >
2023-06-23 17:51:46 -07:00
35606fc401
label error detection in semantic segmentation datasets ( #677 )
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Co-authored-by: Ulyana <ulyana@cleanlab.ai >
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2023-06-23 00:32:08 -07:00
da65a9727f
identifying label errors in Object Detection data ( #676 )
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Co-authored-by: Aditya Thyagarajan <aditya1593@icloud.com >
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
Co-authored-by: Hui Wen <45724323+huiwengoh@users.noreply.github.com >
2023-06-07 01:12:46 -07:00
114201bf76
ENH: make clipping unnecessary for entropy ( #703 )
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Co-authored-by: Hui Wen <45724323+huiwengoh@users.noreply.github.com >
2023-05-25 00:49:30 -04:00
e33b757fa0
MAINT: standardize documentation and simplify code for outlier ( #689 )
2023-05-01 19:16:19 -04:00
2d00c91f40
Update numpy.typing import and annotations ( #688 )
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* refactor: ♻️ move numpy.typing under TYPE_CHECKING and add future annotations
2023-05-01 16:58:48 +00:00
d45a508ed6
Update softmax to be more numerically stable ( #667 )
2023-04-14 22:23:40 -05:00
f8c1866c58
move methods to multilabel_classification module ( #657 )
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adds new dataset summarization methods for multilabel settings
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2023-04-13 21:50:11 -07:00
6d67175e2a
Extract function for computating ood scores from distances ( #664 )
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* extract distance-to-score computation to separate function
* move function to a new internal.outlier module
2023-04-07 18:33:45 +00:00
fa1db6e1d5
Bug fixes + improvements to multiannotator module ( #654 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2023-03-20 23:36:41 -07:00
70a2ed2fa2
Add clipping of small probabilities to address issue #639 ( #647 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2023-03-12 20:51:03 -07:00
c191d8781d
Fix format compatibility with latest black==23. release ( #620 )
2023-02-07 10:01:45 -08:00
503a57adaf
Adding type hints for mypy strict compatibility ( #585 )
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* Handling missing type & docs in cleanlab/token_classification_utils.py 🏷️
- Added typehints for the cleanlabs/token_classification_utils.py file for mypy strict mode
- Fixed corresponding docstrings refers #587
* Handling missing type & docs in cleanlab/multilabel_classification.py 🏷️
- Fixing all errors for mypy strict for the file
* docs(internal): fix "number of new classes" variable in docstring
Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2023-01-10 13:46:16 +00:00
7b589f6d63
updating copyright year to include 2023 ( #594 )
2023-01-06 21:25:57 -08:00
27340b0d5f
fix(multi-label docstring example): 📝 make score array two-dimensional ( #573 )
2022-12-23 15:59:23 -08:00
f61469420b
Multiannotator Active Learning Support ( #538 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2022-12-21 18:31:24 -08:00
0a3344726f
chore: 🔥 remove .pylintrc ( #564 )
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flake8 should be used instead
2022-12-13 00:58:22 -08:00
1e8f9ab8b2
Docs: remove double slash in math-mode in EMA docstring ( #563 )
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Fixes #556
2022-12-12 09:07:40 -08:00
17a82c32fc
Public multilabel quality scores method + softmin aggregation + more tests ( #542 )
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Co-authored-by: Elías Snorrason <eliassno@gmail.com >
2022-11-23 18:34:43 -08:00
7139a8fd99
Refactor MultilabelScorer helper methods and tests ( #540 )
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Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com >
2022-11-20 15:43:23 -08:00
4d0ad6ed04
Fix multilabel_py dimensionality ( #535 )
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* Go from a (2**K,) vector to a (K, 2) matrix of prior probabilities.
2022-11-14 15:19:17 +00:00
25025d9275
Validate forgetting factor in EMA ( #527 )
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- Added runtime check that `0 <= alpha <= 1` to ensure EMA uses proportional weighting.
- Moved all EMA tests to separate class.
2022-11-07 15:56:33 +00:00
Ulyana