Book Image

Mastering Scala Machine Learning

By : Alex Kozlov
Book Image

Mastering Scala Machine Learning

By: Alex Kozlov

Overview of this book

Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using Scala.
Table of Contents (17 chapters)
Mastering Scala Machine Learning
Credits
About the Author
Acknowlegement
www.PacktPub.com
Preface
10
Advanced Model Monitoring
Index

POS tagging


POS tagging probabilistically annotates each word with it's grammatical function—noun, verb, adjective, and so on. Usually, POS tagging serves as an input to syntactic and semantic analysis. Let's demonstrate POS tagging on the FACTORIE toolkit example, a software library written in Scala (http://factorie.cs.umass.edu). To start, you need to download the binary image or source files from https://github.com/factorie/factorie.git and build it:

$ git clone https://github.com/factorie/factorie.git
...
$ cd factorie
$ git checkout factorie_2.11-1.2
...
$ mvn package -Pnlp-jar-with-dependencies

After the build, which also includes model training, the following command will start a network server on port 3228:

$ $ bin/fac nlp --wsj-forward-pos --conll-chain-ner
java -Xmx6g -ea -Djava.awt.headless=true -Dfile.encoding=UTF-8 -server -classpath ./src/main/resources:./target/classes:./target/factorie_2.11-1.2-nlp-jar-with-dependencies.jar
found model
18232
Listening on port 3228
...

Now,...