* 📝 add section on how to contribute to project
* 📝 add external link to CONTRIBUTING.md
* move contribution guide link to Guides section
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com>
* docs: 📝 add usage example for get_sentence
Also remove types in docstrings.
* docs: 📝 add usage examples for filter_sentence
* docs: 📝 add page for internal.token_classification_utils
* docs: 📝 remove name of return variable
auto-tagging won't work correctly for the return value if it's not a tuple
* 📝 add pages for modules in cleanlab.token_classification
* fix indentation
* 📝 add token classification api to toctree
* 🎨 format docstrings
* 📝 add usage examples
* update example comment
* 📝 add usage examples
* 📝 add return variable name in docstring
* 📝 remove some hard-coded params types in rank module
Keep more complex parameters hard-coded for now. E.g. "enum"-like parameters.
* 🎨 remove indentation of parameters in docstrings
* 🎨 fix indentation
* colored docstring typo + formatting
* typo: occurence
* probs_merged docstring typo + formatting
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com>
* remove ineffective TF suppression lines
* suppress tensorflow logs in workflows tutorial
* formatting
* hidden cell comment
* move suppress code to hidden cell
* move suppression code to first hidden cell
* move suppression code to first cell
* supress tf logs in tabular tutorial
* optional code to hidden cells in audio tutorial
* suppress tf logs in multiannotator tutorial
* suppress tf logs in token tutorial
* move cross-val tutorial to appear last
* move cross-val tutorial to be last in main index
* move outlier before multiannotator in API list
* remove newline at end of cell
* Added outlier detection tutorial into docs
* Switched to pytorch model/dataset implementation
* Fixed image normalization
* Fixed outlier detection for test set
* Added outlier thresholding into tutorial.
* Cleaned output
* Removed unused imports and renamed notebook
* Added outliers notebook to PR
* Added quickstart into tutorial
* Best quickstart header
* Cleaned cell output
* Changed to use subset of original data for speed
* Fixed randomness
* Cleared outputs
* fixed metadata tags
* Fixed metadata
* Cleaned kernel and verified output
* Improved unit test
Changed labels references to classes where apropriate
* Create FAQ page in cleanlab docs
* Add FAQ notebook to store answers to frequently asked questions
* Improved formatting issues for faq page
- added faq to sidebar
* Improved formatting issues for faq page
- added faq to sidebar
- changed email to comply with CLA
* Removed faq numbering
- Removed notebook output metadata
- Added notebook to index for left table link
* Text and example rewritten for clarity
- How do I format labels for cleanlab-- example improved
- How do I format labels for cleanlab-- text amended
- Can't find an answer to your question-- added links
* add links to issues/slack
Co-authored-by: Ulyana Tkachenko <uly@ulyana.lan>
Co-authored-by: Jonas Mueller <1390638+jwmueller@users.noreply.github.com>
* dataset health tutorial pulldown format
* tutorial ordering in sidebar
* pulldown format, bullet format
* reformat pulldown indepth tutorial
* shorten data fetching header
* adjust spacing
* 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
* improved language in docs Quickstart
* LearningWithNoisyLabels refactor to improve API flexibility and UX
* fix LearningWithNoisy rare label handling
* additional arg-checking unit tests
Jonas Mueller