2096c5d1b9
Updated docs/source/index.rst to be same as master branch with new tutorial added between datalab and cleanlearning
2024-04-30 17:47:40 -04:00
83d4209c67
Updated train and test datasets used, fixed bug with not dropping rows from training data that are exact duplicat with test set, updated seed usage to be proper, and fixed unit tests accordingly
2024-04-30 16:32:59 -04:00
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
761318f8c8
shorten duplicates notebook cells
2024-04-15 20:44:08 -07:00
f2257b27e6
duplicates section
2024-04-15 20:38:37 -07:00
9ebe4fcf5a
better motivate the merged data checks
2024-04-15 18:04:22 -07:00
a1431290ad
more clarification on the main steps of the tutorial
2024-04-15 17:34:09 -07:00
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
d2419ea67f
Fixed headings throughout notebook to be more similar to other tutorials and adjusted intro section as well
2024-04-09 17:29:53 -04:00
36ad7d13b8
Merge branch 'master' into add-train-test-clos-tutorial
2024-04-09 16:51:25 -04:00
ebc6987d73
shorten sidebar naming to fit to one-line
2024-04-09 00:10:30 -07:00
3f4108e6a1
wording
2024-04-08 16:26:33 -07:00
447002bd9e
dont need sklearn because its already dependency of cleanlab
2024-04-08 16:24:09 -07:00
068b8cc61d
top part of tutorial
2024-04-08 16:23:00 -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
aaaedf2602
Fixed tabular datalab tutorial in index
2024-04-04 15:12:06 -05:00
e22ffd8143
Re-added tabular datalab tutorial
2024-04-04 14:41:12 -05:00
47f9976a33
Fixed index at docs/source level
2024-04-04 12:36:00 -05:00
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
ffe9b33774
Fixed markdown wording
2024-04-03 20:48:03 -05:00
3164e94ee1
Modified index files to put clos train test tutorial in general sidebar before DCAI workflow tutorial, and renamed it to improving_ml_performance, also removed datalab tabular tutorial since this tutorial is replacing that one
2024-04-03 20:30:01 -05:00
797b762653
Added hidden tests at end of tutorial, changed intro section wording, and cleaned up some of the code, put data used into s3 bucket
2024-04-03 20:20:09 -05:00
ad94a5e6ca
Fixed hyperparameter optimization section
2024-04-03 19:42:08 -05:00
58e59f8235
Fixed some logic in hyperparameter section, still WIP
2024-04-02 23:44:13 -04:00
e82a6072cb
Added fix to test data inspection/cleaning, changed wording, cleaned up notebook and added more on hyperparameter optimization section. This section still needs to be improved.
2024-04-02 22:56:15 -04:00
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
64488565a4
Can ignore commented out code and also some code I pasted in from a previous version following the model eval on clean training + test data. Fixed section on using Datalab on training data to clean the data
2024-03-29 15:15:33 -04:00
f954aa86a9
Fixed datasets and added sections on checking for near duplicates/non iid issues and filtered training data based on exact duplicates between training and test sets
2024-03-28 16:46:42 -04:00
b5c44b716c
Added WIP new CLOS train test split tutorial notebook
2024-03-28 14:42:28 -04:00
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
Matt Turk