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Documentation for 430 release candidate #13421

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DevinTDHa
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Description

This PR adds documentation for new annotators for the 4.3.0 release and fixes some other issues with the documentation.

Closes #12676.

How Has This Been Tested?

No Code changes.

Types of changes

  • Bug fix (non-breaking change which fixes an issue)
  • Code improvements with no or little impact
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)

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Pull Request Test Coverage Report for Build 4016726907

  • 0 of 0 changed or added relevant lines in 0 files are covered.
  • 2 unchanged lines in 1 file lost coverage.
  • Overall coverage decreased (-0.02%) to 67.221%

Files with Coverage Reduction New Missed Lines %
src/main/scala/com/johnsnowlabs/nlp/annotators/DateMatcherUtils.scala 2 87.04%
Totals Coverage Status
Change from base Build 3929982593: -0.02%
Covered Lines: 8451
Relevant Lines: 12572

💛 - Coveralls

@DevinTDHa DevinTDHa marked this pull request as ready for review January 30, 2023 16:55
@maziyarpanahi maziyarpanahi merged commit 49a51fb into JohnSnowLabs:release/430-release-candidate Jan 30, 2023
josejuanmartinez pushed a commit that referenced this pull request Feb 17, 2023
* [skip ci] SPARKNLP-709: Add Documentation
- SwinForImageClassification, HubertForCTC
- Added additional example for ViTForImageClassification

* Fix some PyDocs and add ignore pattern to sphinx

* Resolved some warnings for Sphinx

* Improve WordSegmenter Docs

* Resolve sphinx Warnings

* Remove typo

* SPARKNLP-709: Add documentation for ZeroShotNer
josejuanmartinez pushed a commit that referenced this pull request Feb 17, 2023
* [skip ci] SPARKNLP-709: Add Documentation
- SwinForImageClassification, HubertForCTC
- Added additional example for ViTForImageClassification

* Fix some PyDocs and add ignore pattern to sphinx

* Resolved some warnings for Sphinx

* Improve WordSegmenter Docs

* Resolve sphinx Warnings

* Remove typo

* SPARKNLP-709: Add documentation for ZeroShotNer
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3 participants