John Snow Labs Spark-NLP 4.2.7: Patch release

[maziyarpanahi]

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📢 Overview

Spark NLP 4.2.7 🚀 comes with some important bug fixes and improvements. As a result, we highly recommend to update to this latest version if you are using Spark NLP 4.2.x.

As always, we would like to thank our community for their feedback, questions, and feature requests. 🎉

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🐛 ⭐ Bug Fixes & Enhancements

• Fix outputAnnotatorType issue in pipelines with Finisher annotator. This change adds outputAnnotatorType to AnnotatorTransformer to avoid loading outputAnnotatorType attribute when a stage in pipeline does not use it.
• Fix the wrong sentence index calculation in metadata by annotators in the pipeline when setExplodeSentences param was set to true in SentenceDetector annotator
• Fix the issue in Tokenizer when a custom pattern is used with lookahead/-behinds and it has 0 width matches. This led to indexes not being calculated correctly
• Fix missing to output embeddings in .fullAnnotate() method when parseEmbeddings param was set to True/true
• Fix broken links to the Python API pages, as the generation of the PyDocs was slightly changed in a previous release. This makes the Python APIs accessible from the Annotators and Transformers pages like before
• Change default values of explodeEntities and mergeEntities parameters to true in GraphExctraction annotator
• Better error handling when there are empty paths/relations in GraphExctractionannotator. New message will better guide the user on how to configure GraphExtraction to output meaningful relationships
• Removed the duplicated definition of method setWeightedDistPath from ContextSpellCheckerApproach

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📖 Documentation

• TF Hub & HuggingFace to Spark NLP
• Models Hub with new models
• Spark NLP documentation
• Spark NLP Scala APIs
• Spark NLP Python APIs
• Spark NLP Workshop notebooks
• Spark NLP publications
• Spark NLP in Action
• Spark NLP training certification notebooks for Google Colab and Databricks
• Spark NLP Display for visualization of different types of annotations
• Discussions Engage with other community members, share ideas, and show off how you use Spark NLP!

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Installation

Python

#PyPI

pip install spark-nlp==4.2.7

Spark Packages

spark-nlp on Apache Spark 3.0.x, 3.1.x, 3.2.x, and 3.3.x (Scala 2.12):

spark-shell --packages com.johnsnowlabs.nlp:spark-nlp_2.12:4.2.7

pyspark --packages com.johnsnowlabs.nlp:spark-nlp_2.12:4.2.7

GPU

spark-shell --packages com.johnsnowlabs.nlp:spark-nlp-gpu_2.12:4.2.7

pyspark --packages com.johnsnowlabs.nlp:spark-nlp-gpu_2.12:4.2.7

M1

spark-shell --packages com.johnsnowlabs.nlp:spark-nlp-m1_2.12:4.2.7

pyspark --packages com.johnsnowlabs.nlp:spark-nlp-m1_2.12:4.2.7

AArch64

spark-shell --packages com.johnsnowlabs.nlp:spark-nlp-aarch64_2.12:4.2.7

pyspark --packages com.johnsnowlabs.nlp:spark-nlp-aarch64_2.12:4.2.7

Maven

spark-nlp on Apache Spark 3.0.x, 3.1.x, 3.2.x, and 3.3.x:

<dependency>
    <groupId>com.johnsnowlabs.nlp</groupId>
    <artifactId>spark-nlp_2.12</artifactId>
    <version>4.2.7</version>
</dependency>

spark-nlp-gpu:

<dependency>
    <groupId>com.johnsnowlabs.nlp</groupId>
    <artifactId>spark-nlp-gpu_2.12</artifactId>
    <version>4.2.7</version>
</dependency>

spark-nlp-m1:

<dependency>
    <groupId>com.johnsnowlabs.nlp</groupId>
    <artifactId>spark-nlp-m1_2.12</artifactId>
    <version>4.2.7</version>
</dependency>

spark-nlp-aarch64:

<!-- https://mvnrepository.com/artifact/com.johnsnowlabs.nlp/spark-nlp-aarch64 -->
<dependency>
    <groupId>com.johnsnowlabs.nlp</groupId>
    <artifactId>spark-nlp-aarch64_2.12</artifactId>
    <version>4.2.7</version>
</dependency>

FAT JARs

• CPU on Apache Spark 3.x/3.1.x/3.2.x/3.3.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-assembly-4.2.7.jar

• GPU on Apache Spark 3.0.x/3.1.x/3.2.x/3.3.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-gpu-assembly-4.2.7.jar

• M1 on Apache Spark 3.0.x/3.1.x/3.2.x/3.3.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-m1-assembly-4.2.7.jar

• AArch64 on Apache Spark 3.0.x/3.1.x/3.2.x/3.3.x: https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/jars/spark-nlp-aarch64-assembly-4.2.7.jar

What's Changed

@dcecchini @Cabir40 @agsfer @gadde5300 @bunyamin-polat @rpranab @jdobes-cz @josejuanmartinez @diatrambitas @maziyarpanahi

Full Changelog: 4.2.6...4.2.7

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This discussion was created from the release John Snow Labs Spark-NLP 4.2.7: Patch release.