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Tutorial: Human-in-the-loop weak supervision with skweak #869
Tutorial: Human-in-the-loop weak supervision with skweak #869
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Codecov Report
@@ Coverage Diff @@
## master #869 +/- ##
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Coverage 95.50% 95.50%
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Files 109 109
Lines 4202 4202
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Hits 4013 4013
Misses 189 189
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Very nice!! I leave you first comments from a quick read, hopefully later today I will have a more thorough look at it.
Initial version of a weak supervision tutorial with skweak, modeled after the snorkel tutorial and the skweak documentation. Let me know if any improvements and standardizations are necessary before accepting this PR. Following other tutorials, I saved some of the data files inside the rubrix repository.
Adjusts tutorial to the new "Setup" section structure. Fixes minor grammatical errors in markdown cells.
Thanks a lot @ruanchaves I pushed some minor changes regarding the title and headings, as well as the image paths. |
* 'master' of https://github.com/recognai/rubrix: feat(rules): compute total & ann. coverage before label selection (#916) fix(rules): compute annotated coverage when no label properly (#915) Tutorial: Human-in-the-loop weak supervision with skweak (#869) UI: include affected #records to overall coverage/ann. coverage metrics (#914) fix lint build (#913) UI: manage precision and rules without annotation coverage (#909) fix(#876): process 400 response detail properly (#889) feat(rules): allow compute partial query rule metrics (#907) fix(security): providing default workspace should pass check (#911) UI: reset filters from define rules view (#908) UI: Show number of created rules in rules management view (#910) UI: drop access to rule name field (#904) fix(rules): prevent lost rules with dataset updates (#892) fix(datasets): process owner as part of dataset id (#870) (UI) Rules summary metrics format (#888) UI: Improve code snippet for empty workspace (#886) fix(UI): Remove case sensitive when filtering labels (#882)
* Tutorial: Human-in-the-loop weak supervision with skweak Initial version of a weak supervision tutorial with skweak, modeled after the snorkel tutorial and the skweak documentation. Let me know if any improvements and standardizations are necessary before accepting this PR. Following other tutorials, I saved some of the data files inside the rubrix repository. * Response to initial PR comments Adjusts tutorial to the new "Setup" section structure. Fixes minor grammatical errors in markdown cells. * update title + headings * update img paths * add tutorial to index * update heading Co-authored-by: dcfidalgo <david@recogn.ai>
Initial version of a weak supervision tutorial with skweak, modeled after the snorkel tutorial and the skweak documentation.
Let me know if any improvements or standardizations are necessary before accepting this PR.
Following other tutorials, I saved some of the data files inside the rubrix repository.