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311 次代码提交

作者 SHA1 备注 提交日期
Wei Jing Lok d5dc5564e5 add tabular tutorial 2022-04-01 09:59:01 +08:00
Jonas Mueller 1247f165f2 Improve user-control (#149)
* improved language in docs Quickstart

* LearningWithNoisyLabels refactor to improve API flexibility and UX

* fix LearningWithNoisy rare label handling

* additional arg-checking unit tests
2022-03-30 08:18:38 -07:00
Wei Jing 4c9fb124b1 update quickstart to reflect v2.0 API (#143) 2022-03-28 15:44:41 -07:00
Jonas Mueller 7b2340b638 Utilites -> internal submodule refactor (#141)
* utilities -> internals

* docbuilding instructions improvement

* fixup formatting of contributing.md

* change contributor guidelines language to be optional

* line formatting
2022-03-28 09:53:10 -07:00
Wei Jing Lok 034eb80061 Change .ipynb files to use master ver of cleanlab 2022-03-27 17:45:05 +08:00
Jonas Mueller 9d1fb54842 Merge pull request #136 from weijinglok/fix-toc
Fix docs TOC for v2.0
2022-03-23 14:23:38 -07:00
Wei Jing Lok da686a4006 update doc toc for 2.0 2022-03-24 03:28:14 +08:00
Wei Jing Lok 2b9a7123ed remove extra slash in rel path 2022-03-24 01:03:45 +08:00
Wei Jing aca683ec80 Add image classification tutorial and streamline docs CI/CD (#127) 2022-03-22 19:34:27 -04:00
Curtis G. Northcutt 8f9f3f5380 Major API change. Introducing Cleanlab 2.0 (#128)
* Refactor modules pruning to filter and latent_estimation to count

* Remove polyplex (research) algorithms from cleanlab

* Create new module rank and move scoring functions to rank.

* Rename test to match new module names

* Fixed error in normalized margin. added ranking for arbitrary psx and labels.

* Remove unused tests and methods. add multi-label support for baseline.

* Move baseline methods to filter and delete baseline module.

* change filter.get_noise_indices to filter.find_label_issues

* Rename baseline methods. fill out docstrings.

* Only require 1 example to be left in each class after removing errors. (instead of 5)

* Remove K as a parameter to count.compute_confident_joint

* Add C_argmax and C_ij methods from CL paper to find_label_issues

* Add warnings for new prune methods and frac_noise. Fix tests.

* Add baseline tests to test_rank_filter and delete baseline test

* Remove inverse_noise_matrix parameter in classification call to find_label_issues

* add todo to update docstring with new ranking functions

* 100% tests pass. add multi-label support for prune_method

* Major NOT-backwards-compatible name changes to most components

* More Major NOT-backwards-compatible name changes

* fixed s -> label mistakes

* Several nomenclature updates from PR feedback. models renamed to example models.

* Remove python2 support across all modules.

* major api changes. psx -> pred_probs. prob_given_label -> self_confidence. testing added.

* enable python version 3.9 for pytorch model.

* ran spellcheck

* ran grammar check

* Update count.py

* Update filter.py

* Update setup.py and ci.yml to no longer support Python 2 and py3.4/5

* Increase test coverage and documentation of rank module methods.

* create utils submodule and move util and latent_algebra

* Rename y everywhere to true_labels, and p(true_label=..)

* Enforce positional arguments in methods. Fully remove py2 support.
2022-03-16 06:52:03 -04:00
Wei Jing Lok 6169fdcd43 Add new documentation site 2022-03-01 14:55:51 -05:00