Bump Version [skip test]

Author: DevinTDHa

CHANGELOG

@@ -1,5 +1,20 @@
 =======
-6.0.1
+6.0.3
+=======
+----------------
+New Features & Enhancements
+----------------
+* Introducing E5-V Universal Embeddings (SPARKNLP-1143)
+* Enhanced Chunking Strategies (SPARKNLP-1125)
+* New XML Reader (SPARKNLP-1119)
+
+----------------
+Bug Fixes
+----------------
+* Fixed typo for Excel reader notebook
+
+=======
+6.0.2
 =======
 ----------------
 New Features & Enhancements

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==6.0.2 pyspark==3.3.1
+$ pip install spark-nlp==6.0.3 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 *6.0.2* 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 *6.0.3* 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
 
 | 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 6.0.2 has been tested and is compatible with the following runtimes:
+Spark NLP 6.0.3 has been tested and is compatible with the following runtimes:
 
 | **CPU**            | **GPU**            |
 |--------------------|--------------------|
@@ -176,7 +176,7 @@ We are compatible with older runtimes. For a full list check databricks support
 
 ### EMR Support
 
-Spark NLP 6.0.2 has been tested and is compatible with the following EMR releases:
+Spark NLP 6.0.3 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 := "6.0.2"
+version := "6.0.3"
 
 (ThisBuild / scalaVersion) := scalaVer
 

conda/meta.yaml

@@ -1,13 +1,13 @@
 {% set name = "spark-nlp" %}
-{% set version = "6.0.2" %}
+{% set version = "6.0.3" %}
 
 package:
   name: {{ name|lower }}
   version: {{ version }}
 
 source:
   url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/spark_nlp-{{ version }}.tar.gz
-  sha256: 8b97358206809a123076bcd58aba3b6487086c95c6370be6a9a34f0d5568b43d
+  sha256: ff09f27c512401cff1ec3af572069b2e2af35b87a0f6737c5340538bac10faf7
 
 build:
   noarch: python

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==6.0.2 pyspark==3.3.1
+$ pip install spark-nlp==6.0.3 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 *6.0.2* 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 *6.0.3* 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
 
 | 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 6.0.2 has been tested and is compatible with the following runtimes:
+Spark NLP 6.0.3 has been tested and is compatible with the following runtimes:
 
 | **CPU**            | **GPU**            |
 |--------------------|--------------------|
@@ -176,7 +176,7 @@ We are compatible with older runtimes. For a full list check databricks support
 
 ### EMR Support
 
-Spark NLP 6.0.2 has been tested and is compatible with the following EMR releases:
+Spark NLP 6.0.3 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='6.0.2',  # Required
+    version='6.0.3',  # 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__ = "6.0.2"
+__version__ = "6.0.3"
 
 
 def start(gpu=False,

scripts/colab_setup.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 #default values for pyspark, spark-nlp, and SPARK_HOME
-SPARKNLP="6.0.2"
+SPARKNLP="6.0.3"
 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="6.0.2"
+SPARKNLP="6.0.3"
 PYSPARK="3.2.3"
 
 while getopts s:p:g option

scripts/sagemaker_setup.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
 
 # Default values for pyspark, spark-nlp, and SPARK_HOME
-SPARKNLP="6.0.2"
+SPARKNLP="6.0.3"
 PYSPARK="3.2.3"
 
 echo "Setup SageMaker for PySpark $PYSPARK and Spark NLP $SPARKNLP"

src/main/scala/com/johnsnowlabs/util/Build.scala

@@ -17,5 +17,5 @@
 package com.johnsnowlabs.util
 
 object Build {
-  val version: String = "6.0.2"
+  val version: String = "6.0.3"
 }