Bump Version [run doc]

Author: danilojsl

CHANGELOG

@@ -1,3 +1,17 @@
+=======
+6.1.4
+=======
+---------------------------
+New Features & Enhancements
+---------------------------
+
+* [SPARKNLP-1261] Introducing Reader2Image Annotator #14658
+
+---------
+Bug Fixes
+---------
+None
+
 =======
 6.1.3
 =======

README.md

@@ -63,7 +63,7 @@ $ java -version
 $ conda create -n sparknlp python=3.7 -y
 $ conda activate sparknlp
 # spark-nlp by default is based on pyspark 3.x
-$ pip install spark-nlp==6.1.2 pyspark==3.3.1
+$ pip install spark-nlp==6.1.4 pyspark==3.3.1
 ```
 
 In Python console or Jupyter `Python3` kernel:
@@ -129,7 +129,7 @@ For a quick example of using pipelines and models take a look at our official [d
 
 ### Apache Spark Support
 
-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
+Spark NLP *6.1.4* 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
 
 | 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 |
 |-----------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
@@ -159,7 +159,7 @@ Find out more about 4.x `SparkNLP` versions in our official [documentation](http
 
 ### Databricks Support
 
-Spark NLP 6.1.2 has been tested and is compatible with the following runtimes:
+Spark NLP 6.1.4 has been tested and is compatible with the following runtimes:
 
 | **CPU**            | **GPU**            |
 |--------------------|--------------------|
@@ -177,7 +177,7 @@ We are compatible with older runtimes. For a full list check databricks support
 
 ### EMR Support
 
-Spark NLP 6.1.2 has been tested and is compatible with the following EMR releases:
+Spark NLP 6.1.4 has been tested and is compatible with the following EMR releases:
 
 | **EMR Release**    |
 |--------------------|

build.sbt

@@ -6,7 +6,7 @@ name := getPackageName(is_silicon, is_gpu, is_aarch64)
 
 organization := "com.johnsnowlabs.nlp"
 
-version := "6.1.2"
+version := "6.1.4"
 
 (ThisBuild / scalaVersion) := scalaVer
 

docs/_config.yml

@@ -24,7 +24,7 @@ baseurl : # does not include hostname
 title   : Spark NLP
 description: > # this means to ignore newlines until "Language & timezone"
   High Performance NLP with Apache Spark
-sparknlp_version: 6.1.2 # Version to be substituted in the documentation
+sparknlp_version: 6.1.4 # Version to be substituted in the documentation
 
 
 ## => Language and Timezone

docs/_config_local.yml

@@ -27,7 +27,7 @@ baseurl : # does not include hostname
 title   : Spark NLP
 description: > # this means to ignore newlines until "Language & timezone"
   High Performance NLP with Apache Spark
-sparknlp_version: 6.1.2 # Version to be substituted in the documentation
+sparknlp_version: 6.1.4 # Version to be substituted in the documentation
 
 
 ## => Language and Timezone

python/README.md

@@ -63,7 +63,7 @@ $ java -version
 $ conda create -n sparknlp python=3.7 -y
 $ conda activate sparknlp
 # spark-nlp by default is based on pyspark 3.x
-$ pip install spark-nlp==6.1.2 pyspark==3.3.1
+$ pip install spark-nlp==6.1.4 pyspark==3.3.1
 ```
 
 In Python console or Jupyter `Python3` kernel:
@@ -129,7 +129,7 @@ For a quick example of using pipelines and models take a look at our official [d
 
 ### Apache Spark Support
 
-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
+Spark NLP *6.1.4* 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
 
 | 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 |
 |-----------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|--------------------|
@@ -159,7 +159,7 @@ Find out more about 4.x `SparkNLP` versions in our official [documentation](http
 
 ### Databricks Support
 
-Spark NLP 6.1.2 has been tested and is compatible with the following runtimes:
+Spark NLP 6.1.4 has been tested and is compatible with the following runtimes:
 
 | **CPU**            | **GPU**            |
 |--------------------|--------------------|
@@ -177,7 +177,7 @@ We are compatible with older runtimes. For a full list check databricks support
 
 ### EMR Support
 
-Spark NLP 6.1.2 has been tested and is compatible with the following EMR releases:
+Spark NLP 6.1.4 has been tested and is compatible with the following EMR releases:
 
 | **EMR Release**    |
 |--------------------|

python/setup.py

@@ -41,7 +41,7 @@
     # project code, see
     # https://packaging.python.org/en/latest/single_source_version.html
 
-    version='6.1.2',  # Required
+    version='6.1.4',  # Required
 
     # This is a one-line description or tagline of what your project does. This
     # corresponds to the 'Summary' metadata field:

python/sparknlp/__init__.py

@@ -66,7 +66,7 @@
 annotators = annotator
 embeddings = annotator
 
-__version__ = "6.1.2"
+__version__ = "6.1.4"
 
 
 def start(gpu=False,

scripts/colab_setup.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 #default values for pyspark, spark-nlp, and SPARK_HOME
-SPARKNLP="6.1.2"
+SPARKNLP="6.1.4"
 PYSPARK="3.4.4"
 
 while getopts s:p:g option; do

scripts/kaggle_setup.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 #default values for pyspark, spark-nlp, and SPARK_HOME
-SPARKNLP="6.1.2"
+SPARKNLP="6.1.4"
 PYSPARK="3.2.3"
 
 while getopts s:p:g option