cleanlab--cleanlab
Curtis G. Northcutt
098bb4b49b
# 0.1.0 - Release of confident learning paper based on this version of cleanlab: https://arxiv.org/pdf/1911.00068.pdf # - Documentation increase # - Add examples to find label errors in mnist, cifar, imagenet # - re-organized examples and added readme.
53 行
2.3 KiB
Python
53 行
2.3 KiB
Python
__version__ = '0.1.0'
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# 0.1.0 - Release of confident learning paper based on this version of cleanlab: https://arxiv.org/pdf/1911.00068.pdf
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# - Documentation increase
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# - Add examples to find label errors in mnist, cifar, imagenet
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# - re-organized examples and added readme.
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# 0.0.14 - Major bug fix in classification. Unused param broke code.
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# 0.0.13 - Major bug fix in finding label errors.
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# - Fixed an important bug that broke finding label errors correctly.
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# - Added baseline methods for finding label errors and estimating joint
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# - Increased testing
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# - Simplified logic
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# 0.0.12 - Minor changes.
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# - Added support and testing for sparse matrices scipy.sparse.csr_matrix
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# - Dropped integrated dependency and support on fasttext. Use fasttext at your own risk.
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# - Added testing and dropping fasttext bumped testing code coverage up to 96%.
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# - Remove all ipynb artifacts of the form # In [ ].
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# 0.0.11 - New logo! Improved README.
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# 0.0.10 - Improved documentation, code formatting, README, and testing coverage.
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# 0.0.9 - Multiple major changes
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# - Important: refactored all confident joint methods and parameters
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# - Numerous important bug fixes
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# - Added multi_label support for labels (list of lists)
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# - Added automated ordering of label errors
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# - Added automatic calibration of the confident joint
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# - Version 0.0.8 is deprecated. Use this version going forward.
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# 0.0.8 - Multiple major changes
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# - Finding label errors is now fully parallelized.
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# - prune_count_method parameter has been removed.
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# - estimate_confident_joint_from_probabilities now automatically calibrates confident joint to be a true joint estimate.
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# - Confident joint algorithm changed! When an example is found confidently as 2+ labels, choose class with max probability.
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# 0.0.7 - Massive speed increases across the board. Estimating confident joint now nearly instant. NO major API changes.
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# 0.0.6 - NO API changes. README updates. Examples added. Tutorials added.
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# 0.0.5 - Numerous small bug fixes, but not major API changes. 100% testing code coverage.
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# 0.0.4 - FIRST CROSS-PLATFORM WORKING VERSION OF CLEANLAB. Adding test support.
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# 0.0.3 - Adding working logo to README, pypi working
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# 0.0.2 - Added logo to README, but link does not load on pypi
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# 0.0.1 - initial commit
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