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‎CHANGELOG‎

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=======
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6.1.3
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=======
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---------------------------
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New Features & Enhancements
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---------------------------
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* [SPARKNLP-1286] GGUFRankingFinisher (#14653)
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* [SPARKNLP-1282] Adding improvements to Reader2Doc #14656
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* [SPARKNLP-1244] NerDLGraphChecker #14657
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---------
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Bug Fixes
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---------
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None
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=======
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6.1.2
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---------
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Bug Fixes
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* Fixed
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* Fixed Issues with loading AutoGGUFVision models
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=======
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6.1.1

‎README.md‎

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$ conda create -n sparknlp python=3.7 -y
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$ conda activate sparknlp
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# spark-nlp by default is based on pyspark 3.x
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$ pip install spark-nlp==6.1.2 pyspark==3.3.1
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$ pip install spark-nlp==6.1.3 pyspark==3.3.1
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```
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In Python console or Jupyter `Python3` kernel:
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### Apache Spark Support
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Spark NLP *6.1.2* has been built on top of Apache Spark 3.4 while fully supports Apache Spark 3.0.x, 3.1.x, 3.2.x, 3.3.x, 3.4.x, and 3.5.x
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Spark NLP *6.1.3* has been built on top of Apache Spark 3.4 while fully supports Apache Spark 3.0.x, 3.1.x, 3.2.x, 3.3.x, 3.4.x, and 3.5.x
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| Spark NLP | Apache Spark 3.5.x | Apache Spark 3.4.x | Apache Spark 3.3.x | Apache Spark 3.2.x | Apache Spark 3.1.x | Apache Spark 3.0.x | Apache Spark 2.4.x | Apache Spark 2.3.x |
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|-----------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
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### Databricks Support
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Spark NLP 6.1.2 has been tested and is compatible with the following runtimes:
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Spark NLP 6.1.3 has been tested and is compatible with the following runtimes:
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| **CPU** | **GPU** |
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|--------------------|--------------------|
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### EMR Support
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Spark NLP 6.1.2 has been tested and is compatible with the following EMR releases:
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Spark NLP 6.1.3 has been tested and is compatible with the following EMR releases:
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| **EMR Release** |
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|--------------------|

‎build.sbt‎

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organization := "com.johnsnowlabs.nlp"
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version := "6.1.2"
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version := "6.1.3"
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(ThisBuild / scalaVersion) := scalaVer
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‎conda/meta.yaml‎

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{% set name = "spark-nlp" %}
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{% set version = "6.1.2" %}
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{% set version = "6.1.3" %}
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package:
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name: {{ name|lower }}
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version: {{ version }}
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source:
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url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spark_nlp-{{ version }}.tar.gz
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sha256: 8e7ed8e7c8da1b5de064456cfac01fefcf4159b7c63864051ced4c01201677f5
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sha256: fc1d8a2981a427a7ce6161a7cb2dc1eb20e79c90ed3063cd3afd08c8113f3060
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build:
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noarch: python

‎docs/_config.yml‎

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title : Spark NLP
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description: > # this means to ignore newlines until "Language & timezone"
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High Performance NLP with Apache Spark
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sparknlp_version: 6.1.2 # Version to be substituted in the documentation
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sparknlp_version: 6.1.3 # Version to be substituted in the documentation
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## => Language and Timezone

‎docs/_config_local.yml‎

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title : Spark NLP
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description: > # this means to ignore newlines until "Language & timezone"
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High Performance NLP with Apache Spark
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sparknlp_version: 6.1.2 # Version to be substituted in the documentation
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sparknlp_version: 6.1.3 # Version to be substituted in the documentation
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## => Language and Timezone

‎python/README.md‎

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$ conda create -n sparknlp python=3.7 -y
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$ conda activate sparknlp
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# spark-nlp by default is based on pyspark 3.x
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$ pip install spark-nlp==6.1.2 pyspark==3.3.1
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$ pip install spark-nlp==6.1.3 pyspark==3.3.1
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```
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In Python console or Jupyter `Python3` kernel:
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### Apache Spark Support
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Spark NLP *6.1.2* has been built on top of Apache Spark 3.4 while fully supports Apache Spark 3.0.x, 3.1.x, 3.2.x, 3.3.x, 3.4.x, and 3.5.x
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Spark NLP *6.1.3* has been built on top of Apache Spark 3.4 while fully supports Apache Spark 3.0.x, 3.1.x, 3.2.x, 3.3.x, 3.4.x, and 3.5.x
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| Spark NLP | Apache Spark 3.5.x | Apache Spark 3.4.x | Apache Spark 3.3.x | Apache Spark 3.2.x | Apache Spark 3.1.x | Apache Spark 3.0.x | Apache Spark 2.4.x | Apache Spark 2.3.x |
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|-----------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
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### Databricks Support
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Spark NLP 6.1.2 has been tested and is compatible with the following runtimes:
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Spark NLP 6.1.3 has been tested and is compatible with the following runtimes:
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| **CPU** | **GPU** |
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|--------------------|--------------------|
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### EMR Support
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Spark NLP 6.1.2 has been tested and is compatible with the following EMR releases:
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Spark NLP 6.1.3 has been tested and is compatible with the following EMR releases:
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| **EMR Release** |
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|--------------------|

‎python/setup.py‎

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# project code, see
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# https://packaging.python.org/en/latest/single_source_version.html
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version='6.1.2', # Required
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version='6.1.3', # Required
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# This is a one-line description or tagline of what your project does. This
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# corresponds to the 'Summary' metadata field:

‎python/sparknlp/__init__.py‎

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annotators = annotator
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embeddings = annotator
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__version__ = "6.1.2"
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__version__ = "6.1.3"
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def start(gpu=False,

‎scripts/colab_setup.sh‎

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#default values for pyspark, spark-nlp, and SPARK_HOME
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SPARKNLP="6.1.2"
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SPARKNLP="6.1.3"
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PYSPARK="3.4.4"
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while getopts s:p:g option; do

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