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* 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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@maziyarpanahi @AbdullahMubeenAnwar
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12 changes: 12 additions & 0 deletions CHANGELOG
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========
5.4.2
========
----------------
New Features & Enhancements
----------------
* Added demo notebook for Image Classification Annotators
* Added aggressiveMatching parameter to DateMatcher and MultiDateMatcher annotators
* Added aggressiveMatching parameter to DocumentSimilarityRanker annotator



========
5.4.1
========
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Expand Up @@ -166,7 +166,7 @@ Spark NLP 5.4.0 has been tested and is compatible with the following EMR release
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)

Full list of [Amazon EMR 6.x releases](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-release-6x.html)
Full list 5.4.1mazon EMR 7.x releases](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-release-7x.html)
Full list 5.4.2mazon EMR 7.x releases](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-release-7x.html)

NOTE: The EMR 6.1.0 and 6.1.1 are not supported.

Expand All @@ -182,7 +182,7 @@ deployed to Maven central. To add any of our packages as a dependency in your ap
from our official documentation.

If you are interested, there is a simple SBT project for Spark NLP to guide you on how to use it in your
projects [Spark NLP SBT S5.4.1r](https://github.com/maziyarpanahi/spark-nlp-starter)
projects [Spark NLP SBT S5.4.2r](https://github.com/maziyarpanahi/spark-nlp-starter)

### Python

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Please check [these instructions](https://sparknlp.org/docs/en/install#s3-integration) from our official documentation.

## Document5.4.1
## Document5.4.2

### Examples

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keywords = {Spark, Natural language processing, Deep learning, Tensorflow, Cluster},
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.}
}
}5.4.1
}5.4.2
```

## Community support
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Expand Up @@ -6,7 +6,7 @@ name := getPackageName(is_silicon, is_gpu, is_aarch64)

organization := "com.johnsnowlabs.nlp"

version := "5.4.1"
version := "5.4.2"

(ThisBuild / scalaVersion) := scalaVer

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{% set name = "spark-nlp" %}
{% set version = "5.4.1" %}
{% set version = "5.4.2" %}

package:
name: {{ name|lower }}
version: {{ version }}

source:
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spark-nlp-{{ version }}.tar.gz
sha256: f38125f44f6d8de8c7788c91150b13e8d37f511c99d52fd8769a8b33382febbf
sha256: 182e2db1353cdd9549dd1f7e7c1a4b66c1c33e49424fbe438f1b4474b9dea4cd

build:
noarch: python
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<div class="highlight-box">
{% highlight bash %}
# Using PyPI
$ pip install spark-nlp==5.4.1
$ pip install spark-nlp==5.4.2

# Using Anaconda/Conda
$ conda install -c johnsnowlabs spark-nlp
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