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release/542-release-candidate (#14381)
* Adding demo notebook for Image Classification Annotators (#14360) * Upload SwinForImageClassification.ipynb * Uploading ConvNextForImageClassification * [SPARKNLP-1058] Adding aggressiveMatching parameter (#14365) * [SPARKNLP-1059] Adding aggressiveMatching parameter to DocumentSimilarityRanker (#14370) * [SPARKNLP-1059] Adding aggressiveMatching parameter to DocumentSimilarityRanker * [SPARKNLP-1059] Updates Document Similarity Ranker notebook * Bump to 5.4.2 [run doc] * Update Scala and Python APIs * update conda to 5.4.2 [skip test] --------- Co-authored-by: Abdullah mubeen <77073730+AbdullahMubeenAnwar@users.noreply.github.com> Co-authored-by: Danilo Burbano <37355249+danilojsl@users.noreply.github.com> Co-authored-by: github-actions <action@github.com>
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‎CHANGELOG

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========
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5.4.2
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========
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----------------
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New Features & Enhancements
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----------------
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* Added demo notebook for Image Classification Annotators
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* Added aggressiveMatching parameter to DateMatcher and MultiDateMatcher annotators
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* Added aggressiveMatching parameter to DocumentSimilarityRanker annotator
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========
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5.4.1
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========

‎README.md

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We are compatible with older EMR releases. For a full list check EMR support in our official [documentation](https://sparknlp.org/docs/en/install#emr-support)
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Full list of [Amazon EMR 6.x releases](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-release-6x.html)
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Full list 5.4.1mazon EMR 7.x releases](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-release-7x.html)
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Full list 5.4.2mazon EMR 7.x releases](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-release-7x.html)
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NOTE: The EMR 6.1.0 and 6.1.1 are not supported.
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from our official documentation.
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If you are interested, there is a simple SBT project for Spark NLP to guide you on how to use it in your
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projects [Spark NLP SBT S5.4.1r](https://github.com/maziyarpanahi/spark-nlp-starter)
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projects [Spark NLP SBT S5.4.2r](https://github.com/maziyarpanahi/spark-nlp-starter)
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### Python
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Please check [these instructions](https://sparknlp.org/docs/en/install#s3-integration) from our official documentation.
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## Document5.4.1
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## Document5.4.2
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### Examples
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keywords = {Spark, Natural language processing, Deep learning, Tensorflow, Cluster},
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abstract = {Spark NLP is a Natural Language Processing (NLP) library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines that can scale easily in a distributed environment. Spark NLP comes with 1100+ pretrained pipelines and models in more than 192+ languages. It supports nearly all the NLP tasks and modules that can be used seamlessly in a cluster. Downloaded more than 2.7 million times and experiencing 9x growth since January 2020, Spark NLP is used by 54% of healthcare organizations as the world’s most widely used NLP library in the enterprise.}
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}
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}5.4.1
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}5.4.2
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```
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## Community support

‎build.sbt

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# Using PyPI
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