CleanLearning = Machine Learning with cleaned data

[cgnorthcutt]

Rename LearningWithNoisyLabels to CleanLearning everywhere.

Users should associate clean learning with the notion of doing machine learning (of any kind) with cleaned data. cleanlab is the tool to perform clean learning.

• This change enables the nomenclature needed for cleanlab to generalize beyond just learning with noisy labels, but to learning with cleaned data in general.
• As a side note, users can feel free to use confident learning and clean learning interchangeably.

[codecov]

Codecov Report

Merging #177 (bd0ff6a) into master (3094dac) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master     #177   +/-   ##
=======================================
  Coverage   87.35%   87.35%           
=======================================
  Files          12       12           
  Lines        1036     1036           
  Branches      198      198           
=======================================
  Hits          905      905           
  Misses        106      106           
  Partials       25       25           

Impacted Files	Coverage Δ
cleanlab/classification.py	92.90% <100.00%> (ø)

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[jwmueller]

LGTM, just change variable rp -> cl as well.

[jwmueller]

Also note your commit failed the notebook linter:

docs/source/tutorials/tabular.ipynb [cell 37]: unnecessary trailing newline

[JohnsonKuan]

LGTM too

[anishathalye]

LGTM. Great idea for the new name!