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Merge pull request #929 from JohnSnowLabs/252-release-candidate
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252 release candidate
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maziyarpanahi authored Jun 11, 2020
2 parents 23b0fae + 8ddc221 commit e2e61e2
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24 changes: 24 additions & 0 deletions CHANGELOG
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@@ -1,3 +1,27 @@
========
2.5.2
========
---------------
New Features
---------------
* Introducing a new LanguageDetectorDL state-of-the-art annotator to detect and identify languages in documents and sentences
* Add a new param entityValue to TextMatcher to add custom value inside metadata. Useful in post-processing when there are multiple TextMatcher annotators with multiple dictionaries https://github.com/JohnSnowLabs/spark-nlp/issues/920

----------------
Bugfixes
----------------
* Add missing TensorFlow graphs to train ContextSpellChecker annotator https://github.com/JohnSnowLabs/spark-nlp/issues/912
* Fix misspelled param in classThreshold param in ContextSpellChecker annotator https://github.com/JohnSnowLabs/spark-nlp/issues/911
* Fix a bug where setGraphFolder in NerDLApproach annotator couldn't find a graph on Databricks (DBFS) https://github.com/JohnSnowLabs/spark-nlp/issues/739
* Fix a bug in NerDLApproach when includeConfidence was set to true https://github.com/JohnSnowLabs/spark-nlp/issues/917
* Fix a bug in BertEmbeddings https://github.com/JohnSnowLabs/spark-nlp/issues/906 https://github.com/JohnSnowLabs/spark-nlp/issues/918

---------------------
Enhancements
---------------------
* Improve TF backend in ContextSpellChecker annotator


========
2.5.1
========
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39 changes: 20 additions & 19 deletions README.md
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Expand Up @@ -66,6 +66,7 @@ Take a look at our official Spark NLP page: [http://nlp.johnsnowlabs.com/](http:
* Universal Sentence Encoder (TF Hub models)
* Sentence Embeddings
* Chunk Embeddings
* Language Detection / Identification
* Multi-class Sentiment analysis (Deep learning)
* Multi-class Text Classification (Deep learning)
* Named entity recognition (Deep learning)
Expand Down Expand Up @@ -93,7 +94,7 @@ $ java -version
# should be Java 8 (Oracle or OpenJDK)
$ conda create -n sparknlp python=3.6 -y
$ conda activate sparknlp
$ pip install spark-nlp==2.5.1 pyspark==2.4.4
$ pip install spark-nlp==2.5.2 pyspark==2.4.4
```

In Python console or Jupyter `Python3` kernel:
Expand Down Expand Up @@ -134,7 +135,7 @@ For more examples you can visit our dedicated [repository](https://github.com/Jo

## Apache Spark Support

Spark NLP *2.5.1* has been built on top of Apache Spark 2.4.x
Spark NLP *2.5.2* has been built on top of Apache Spark 2.4.x

| Spark NLP | Apache Spark 2.3.x | Apache Spark 2.4.x |
|-------------|-----------------------|--------------------|
Expand All @@ -155,7 +156,7 @@ Find out more about `Spark NLP` versions from our [release notes](https://github

## Databricks Support

Spark NLP 2.5.1 has been tested and is compatible with the following runtimes:
Spark NLP 2.5.2 has been tested and is compatible with the following runtimes:

* 6.2
* 6.2 ML
Expand All @@ -168,7 +169,7 @@ Spark NLP 2.5.1 has been tested and is compatible with the following runtimes:

## EMR Support

Spark NLP 2.5.1 has been tsted and is compatible with the following EMR releases:
Spark NLP 2.5.2 has been tsted and is compatible with the following EMR releases:

* 5.26.0
* 5.27.0
Expand All @@ -188,20 +189,20 @@ Benefit of spark-packages is that makes it available for both Scala-Java and Pyt
To use the most recent version just add the `--packages com.johnsnowlabs.nlp:spark-nlp_2.11:` to you spark command

```sh
spark-shell --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
spark-shell --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2
```

```sh
pyspark --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
pyspark --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2
```

```sh
spark-submit --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
spark-submit --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2
```

This can also be used to create a SparkSession manually by using the `spark.jars.packages` option in both Python and Scala.

**NOTE**: To use SPark NLP with GPU you can use the dedicated GPU package `com.johnsnowlabs.nlp:spark-nlp-gpu_2.11:2.5.1`
**NOTE**: To use SPark NLP with GPU you can use the dedicated GPU package `com.johnsnowlabs.nlp:spark-nlp-gpu_2.11:2.5.2`

## Scala

Expand All @@ -216,7 +217,7 @@ Our package is deployed to maven central. In order to add this package as a depe
<dependency>
<groupId>com.johnsnowlabs.nlp</groupId>
<artifactId>spark-nlp_2.11</artifactId>
<version>2.5.1</version>
<version>2.5.2</version>
</dependency>
```

Expand All @@ -227,7 +228,7 @@ Our package is deployed to maven central. In order to add this package as a depe
<dependency>
<groupId>com.johnsnowlabs.nlp</groupId>
<artifactId>spark-nlp-gpu_2.11</artifactId>
<version>2.5.1</version>
<version>2.5.2</version>
</dependency>
```

Expand All @@ -237,14 +238,14 @@ Our package is deployed to maven central. In order to add this package as a depe

```sbtshell
// https://mvnrepository.com/artifact/com.johnsnowlabs.nlp/spark-nlp
libraryDependencies += "com.johnsnowlabs.nlp" %% "spark-nlp" % "2.5.1"
libraryDependencies += "com.johnsnowlabs.nlp" %% "spark-nlp" % "2.5.2"
```

**spark-nlp-gpu:**

```sbtshell
// https://mvnrepository.com/artifact/com.johnsnowlabs.nlp/spark-nlp-gpu
libraryDependencies += "com.johnsnowlabs.nlp" %% "spark-nlp-gpu" % "2.5.1"
libraryDependencies += "com.johnsnowlabs.nlp" %% "spark-nlp-gpu" % "2.5.2"
```

Maven Central: [https://mvnrepository.com/artifact/com.johnsnowlabs.nlp](https://mvnrepository.com/artifact/com.johnsnowlabs.nlp)
Expand All @@ -260,7 +261,7 @@ If you installed pyspark through pip/conda, you can install `spark-nlp` through
Pip:

```bash
pip install spark-nlp==2.5.1
pip install spark-nlp==2.5.2
```

Conda:
Expand All @@ -287,7 +288,7 @@ spark = SparkSession.builder \
.master("local[4]")\
.config("spark.driver.memory","16G")\
.config("spark.driver.maxResultSize", "2G") \
.config("spark.jars.packages", "com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1")\
.config("spark.jars.packages", "com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2")\
.config("spark.kryoserializer.buffer.max", "1000M")\
.getOrCreate()
```
Expand Down Expand Up @@ -356,7 +357,7 @@ Use either one of the following options
* Add the following Maven Coordinates to the interpreter's library list

```bash
com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2
```

* Add path to pre-built jar from [here](#compiled-jars) in the interpreter's library list making sure the jar is available to driver path
Expand All @@ -366,7 +367,7 @@ com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
Apart from previous step, install python module through pip

```bash
pip install spark-nlp==2.5.1
pip install spark-nlp==2.5.2
```

Or you can install `spark-nlp` from inside Zeppelin by using Conda:
Expand All @@ -391,7 +392,7 @@ export PYSPARK_PYTHON=python3
export PYSPARK_DRIVER_PYTHON=jupyter
export PYSPARK_DRIVER_PYTHON_OPTS=notebook

pyspark --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
pyspark --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2
```

Alternatively, you can mix in using `--jars` option for pyspark + `pip install spark-nlp`
Expand All @@ -417,7 +418,7 @@ os.environ["PATH"] = os.environ["JAVA_HOME"] + "/bin:" + os.environ["PATH"]
! pip install --ignore-installed pyspark==2.4.4

# Install Spark NLP
! pip install --ignore-installed spark-nlp==2.5.1
! pip install --ignore-installed spark-nlp==2.5.2

# Quick SparkSession start
import sparknlp
Expand Down Expand Up @@ -446,7 +447,7 @@ spark.serializer org.apache.spark.serializer.KryoSerializer

3.1. Insatll New -> PyPI -> `spark-nlp` -> Install

3.2. Install New -> Maven -> Coordinates -> `com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1` -> Install
3.2. Install New -> Maven -> Coordinates -> `com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2` -> Install

4. Now you can attach your notebook to the cluster and use Spark NLP!

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2 changes: 1 addition & 1 deletion build.sbt
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Expand Up @@ -15,7 +15,7 @@ if(is_gpu.equals("false")){

organization:= "com.johnsnowlabs.nlp"

version := "2.5.1"
version := "2.5.2"

scalaVersion in ThisBuild := scalaVer

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Expand Up @@ -49,22 +49,22 @@ <h1>{{ _section.title }}</h1>
<div class="cell cell--12 cell--lg-12" style="text-align: left; background-color: #2d2d2d; padding: 10px">
{% highlight bash %}
# Install Spark NLP from PyPI
$ pip install spark-nlp==2.5.1
$ pip install spark-nlp==2.5.2

# Install Spark NLP from Anaconda/Conda
$ conda install -c johnsnowlabs spark-nlp

# Load Spark NLP with Spark Shell
$ spark-shell --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
$ spark-shell --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2

# Load Spark NLP with PySpark
$ pyspark --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
$ pyspark --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2

# Load Spark NLP with Spark Submit
$ spark-submit --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.1
$ spark-submit --packages com.johnsnowlabs.nlp:spark-nlp_2.11:2.5.2

# Load Spark NLP as external JAR after comiling and bulding Spark NLP by `sbt assembly`
$ spark-shell --jar spark-nlp-assembly-2.5.1
$ spark-shell --jar spark-nlp-assembly-2.5.2
{% endhighlight %}
</div>
</div>
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<html>
<head>
<title>SearchTrie - Spark NLP 2.5.1 ScalaDoc - com.johnsnowlabs.collections.SearchTrie</title>
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<meta name="keywords" content="SearchTrie Spark NLP 2.5.1 ScalaDoc com.johnsnowlabs.collections.SearchTrie" />
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<html>
<head>
<title>SearchTrie - Spark NLP 2.5.1 ScalaDoc - com.johnsnowlabs.collections.SearchTrie</title>
<meta name="description" content="SearchTrie - Spark NLP 2.5.1 ScalaDoc - com.johnsnowlabs.collections.SearchTrie" />
<meta name="keywords" content="SearchTrie Spark NLP 2.5.1 ScalaDoc com.johnsnowlabs.collections.SearchTrie" />
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<head>
<title>StorageSearchTrie - Spark NLP 2.5.1 ScalaDoc - com.johnsnowlabs.collections.StorageSearchTrie</title>
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<meta name="keywords" content="StorageSearchTrie Spark NLP 2.5.1 ScalaDoc com.johnsnowlabs.collections.StorageSearchTrie" />
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<meta name="description" content="StorageSearchTrie - Spark NLP 2.5.2 ScalaDoc - com.johnsnowlabs.collections.StorageSearchTrie" />
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<html>
<head>
<title>collections - Spark NLP 2.5.1 ScalaDoc - com.johnsnowlabs.collections</title>
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