* Updating tutorials hyperlink to 2.0.0 release
* revert back to v.2.0.0 links instead of stable
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com>
The previous link took you to a tutorials page with lots of options including tutorials that were for data-centric AI workflows, and computing cross validated probs, etc. if this is supposed to be the very first thing users click on to get started, we want it to take them straight to a place where they can get started in 5 minutes, not a list of things where they have to figure out what to click next.
Updated to fix this, which also reduced the length :)
* cleanlearning w dfs
* work for sparse matrix as well
* simplify logic of labels_to_array and extend types
* address pr feedback
* add unit test
* rare label dataframe
* modularize subsetting code
* series rarelabel test
* replace cal.com with slack/email
* Add general method to find num_classes from labels
* compute num_classes with pred_probs.shape[1]
* fix broken commits, address 2nd round of comments
Co-authored-by: Curtis G. Northcutt <curtis.northcutt@gmail.com>
Add clarification of the labels format requirements for all major API functions.
* Fix broken link
* Clarify reqs for labels format. rank.py does not yet support multi_label
* add double ticks to code in docstrings
* clarify docstring
* further clarify multi_label vs single label labels reqs
* also add new docstring to confident joint
nit: The ` and ' around "clean lab" don't match. Even after fixing that, it looked unappealing, so removing it altogether.
Proofreading: fixed some typos, misspellings + improved grammar
* initial readme updates
* code example
* example errors image
* example errors image formatting
* example errors image formatting 2
* restof pulldowns
* rest of pulldowns formatting
* deleted extra details - pulldowns formatting
* pulldowns spacing
* pulldowns spacing
* news bullets
* release note link update
* Fix logo URL
* Fix whitespace errors
* Replace `cleanlab` -> cleanlab
This follows what we do in our documentation (see style guide in
DEVELOPMENT.md).
* Make various fixes and changes
* Hide bibtex behind summary/details
* updated example code for @cgnorthcutt feedback
Updated example code bringing back comments from the old readme, and updated the code snippet to use new CleanLearning API which is far more streamlined.
* example code formatting
* skeleton of migration guide added
* add changelog link
* Make banner logo transparent amazing in dark mode
* add link to docs migration guide
link needs to be verified, total guess
* link formatting fix in img caption
* add dataset module summary
* Major revision of entire README.
Co-authored-by: Anish Athalye <me@anishathalye.com>
Co-authored-by: Curtis G. Northcutt <curtis.northcutt@gmail.com>
* added LearningWithNoisyLabels.find_label_issues instance method
* LNL.find_label_issues no longer memoizes
* verbose unit test coverage
* Fixed all issues in PR. Fixed confident joint usage in LNL.find_label_issues. Fixed other minor bugs. Added tests
Co-authored-by: Curtis G. Northcutt <curtis.northcutt@gmail.com>
Co-authored-by: Anish Athalye <me@anishathalye.com>
* 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.
Jonas Mueller