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72 次代码提交

作者 SHA1 备注 提交日期
Curtis G. Northcutt 854478bdc0 Remove links to functions in dataset example 2022-04-15 19:51:15 -04:00
Curtis G. Northcutt d801056513 Dataset example to main page. cl2 tutorial to top 2022-04-15 18:34:00 -04:00
Wei Jing d397cdebb6 Add in-depth tutorial [WIP] (#208)
* add in-depth tutorial and remove pandas install in tutorials

Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com>
2022-04-14 17:46:58 -07:00
Jonas Mueller a313b03042 Migration guide for v2 (#200)
Co-authored-by: Anish Athalye <me@anishathalye.com>
2022-04-13 16:51:17 -04:00
Anish Athalye dc6fa956cb Make a pass over docs 2022-04-11 13:15:43 -04:00
Anish Athalye e086fdee74 Standardize how to format names
This follows NumPy style for reST documentation (but not for
Jupyter/Markdown).
2022-04-09 07:33:24 -04:00
Anish Athalye d93f9f3337 Revise quickstart 2022-04-09 07:33:24 -04:00
Anish Athalye 49b3717edc Make coarse-grained pass over docs
This patch fixes many of the egregious issues with docs rendering.
2022-04-09 07:33:24 -04:00
Anish Athalye 0be3c70a6e Move noise_generation into benchmarking module 2022-04-08 20:08:19 -04:00
Jonas Mueller faac915740 mv example_models -> experimental 2022-04-07 01:25:03 -07:00
Jonas Mueller 423e5b0a07 Polish the APIs and file-structure to prepare for 2.0 release (#181)
* Makes some methods private that are not intended to be user-facing.
* Adds experimental module with fasttext.py and coteaching.py
* Adds header descriptions to code files which will render in docs
* Many miscellaneous fixes
2022-04-06 21:04:06 -07:00
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