7ea03c6dbe
Move HTML df display settings
2022-04-15 16:29:27 -07:00
09432eb7b6
Configure DataFrame style
2022-04-15 15:57:05 -07:00
9879428c6b
Configure DataFrame style
2022-04-15 15:47:13 -07:00
72a62edac3
Dark plots ( #211 )
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* white background for plot
* fix quote
* darkplot
2022-04-15 02:18:08 -07:00
9dd8420e67
Tutorial header-levels decreased ( #210 )
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* tutorial header-levels decreased
* reduce plot size to docs output window
2022-04-14 21:35:14 -07:00
d397cdebb6
Add in-depth tutorial [WIP] ( #208 )
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* 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
831d55da6b
Revise audio tutorial
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This patch also simplifies the code a bit by switching from `os.walk` to
`os.listdir`.
2022-04-09 07:33:24 -04:00
993c831294
Revise tabular tutorial
2022-04-09 07:33:24 -04:00
c8566216bd
Revise text tutorial
2022-04-09 07:33:24 -04:00
acd3d040a5
Revise image tutorial
2022-04-09 07:33:24 -04:00
d91597e282
Revise pred_probs_cross_val
2022-04-09 07:33:24 -04:00
973b12205a
more specific filter-warning ( #193 )
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Should not be using nonspecific filter-warning in tutorials, that is too broad.
2022-04-08 20:44:12 -07:00
c8635bb50c
Add more ergonomic method to skip notebooks
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This way, developers don't have to edit a file and remember to change it
back before submitting a pull request: that seems error-prone.
2022-04-07 05:53:54 -04:00
205f503f15
Add figure to out-of-sample pred proba via cv tutorial ( #183 )
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* add image to pred prob cross val tutorial
2022-04-07 00:25:29 -07:00
423e5b0a07
Polish the APIs and file-structure to prepare for 2.0 release ( #181 )
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* 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
7bf445aa4b
update docs readme
2022-04-07 08:52:52 +08:00
c4e84624e9
CleanLearning = Machine Learning with cleaned data ( #177 )
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* 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
d3eb08e75a
added LearningWithNoisyLabels.find_label_issues instance method ( #157 )
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* 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 >
2022-04-06 12:24:27 -04:00
a3bac68c26
Various tutorial improvements ( #173 )
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* language/formatting/dependencies improvements for tutorials
* hidden cell tests enhanced
* fix num_crossval_folds usage
2022-04-05 21:20:40 -07:00
7247b09aa1
Add test to check examples are found by cleanlab ( #172 )
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* test that highlighted issues in notebooks are found by cleanlab
2022-04-05 17:17:31 -07:00
dcdb8905bb
improve image tutorial model ( #167 )
2022-04-05 13:20:22 -07:00
a903c4c022
Add CI check for trailing newlines in notebooks
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The rendered docs don't look good when code cells have trailing
newlines.
2022-04-05 08:32:24 -04:00
6cac342613
Add CI check that .ipynb outputs are empty
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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.
2022-04-05 08:15:54 -04:00
080c7a841c
Add overview for computing out-of-sample predicted probabilities with cross-validation to doc site ( #166 )
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* 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
5b6d297b6c
Add audio tutorial to doc site ( #165 )
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* add audio tutorial
2022-04-05 03:16:07 -07:00
1f60745b2c
add text tutorial, update notebook titles and naming conventions ( #154 )
2022-04-04 20:56:34 -07:00
Johnson Kuan