Book Image

Scala for Machine Learning - Second Edition

Book Image

Scala for Machine Learning - Second Edition

Overview of this book

The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering design, logistics, manufacturing, and trading strategies, to detection of genetic anomalies. The book is your one stop guide that introduces you to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. You start by learning data preprocessing and filtering techniques. Following this, you'll move on to unsupervised learning techniques such as clustering and dimension reduction, followed by probabilistic graphical models such as Naïve Bayes, hidden Markov models and Monte Carlo inference. Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, support vector machines, neural networks, and deep learning. You’ll move on to evolutionary computing, multibandit algorithms, and reinforcement learning. Finally, the book includes a comprehensive overview of parallel computing in Scala and Akka followed by a description of Apache Spark and its ML library. With updated codes based on the latest version of Scala and comprehensive examples, this book will ensure that you have more than just a solid fundamental knowledge in machine learning with Scala.
Table of Contents (27 chapters)
Scala for Machine Learning Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Akka


The Akka framework extends the original Actor model in Scala by adding extraction capabilities such as support for a typed Actor, message dispatching, routing, load balancing, and partitioning, as well as supervision and configurability [16:7].

The Akka framework can be downloaded from the www.akka.io website, or through the Typesafe Activator at http://www.typesafe.com/platform.

Akka simplifies the implementation of Actor by encapsulating some of the details of Scala Actor in the akka.actor.Actor and akka.actor.ActorSystem classes.

The three methods you want to override are as follows:

  • prestart: This is an optional method, invoked to initialize all the necessary resources such as file or database connection before the Actor is executed

  • receive: This method defines the Actor's behavior and returns a partial function of type PartialFunction[Any, Unit]

  • postStop: This is an optional method to clean up resources such as releasing memory, closing database connections, and socket or file handles...