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61 次代码提交

作者 SHA1 备注 提交日期
Curtis G. Northcutt c4e84624e9 CleanLearning = Machine Learning with cleaned data (#177)
* CleanLearning = Machine Learning with cleaned data

* Replace lnl instance naming with cl everywhere (CleanLearning)

* replace rp (rank pruning) with cl (clearn learning) everywhere

* Clarifying comments. remove unnecessary newlines. fix spelling err
2022-04-06 17:33:04 -04:00
Wei Jing 080c7a841c Add overview for computing out-of-sample predicted probabilities with cross-validation to doc site (#166)
* add pred probs cross val tutorial

Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com>
2022-04-05 03:34:30 -07:00
Wei Jing 5b6d297b6c Add audio tutorial to doc site (#165)
* add audio tutorial
2022-04-05 03:16:07 -07:00
Wei Jing 1f60745b2c add text tutorial, update notebook titles and naming conventions (#154) 2022-04-04 20:56:34 -07:00
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
Wei Jing Lok da686a4006 update doc toc for 2.0 2022-03-24 03:28:14 +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