* 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>
* example label formatting
* example label format in text tutorial
* example label format for tabular tutorial
* y -> full_labels
* example label format for audio tutorial
* clarify input shapes in image tutorial
* clarify input shapes in text tutorial
* clarify input shapes in tabular tutorial
* clarify input shapes for audio tutorial
* generalize text tutorial to multiclass datasets
* fixed typo
* fixed misspelling
* separate cell for num_classes
less likely to be missed if users skip the previous cell to load their own datasets
* removing pycharm metadata
* print classes
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
* 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>
Preserving the output cells in Jupyter notebooks that are checked in to
this repo bloat the repo size, and keeping the output is not necessary
because the notebooks are run as part of the CI for producing docs.
For example, in https://github.com/cleanlab/cleanlab/pull/165, the
`audio.ipynb` is 112K (and now part of the repo history forever), while
clearing the output cells reduces that size down to 24K. I suspect that
Git's delta compression will also work better without the output cells
there as we make changes to the notebook. Also, the diffs will be more
readable.
Ulyana