The classification problem is like the regression problem discussed in the previous chapter except that the outcome variable y takes only a few discrete values. In binary classification, y takes only two values: 0 or 1. You can also think of values that the response variable can take in classification as representing categories.
Spark Cookbook
By :
Spark Cookbook
By:
Overview of this book
Table of Contents (19 chapters)
Spark Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started with Apache Spark
Developing Applications with Spark
External Data Sources
Spark SQL
Spark Streaming
Getting Started with Machine Learning Using MLlib
Supervised Learning with MLlib – Regression
Supervised Learning with MLlib – Classification
Unsupervised Learning with MLlib
Recommender Systems
Graph Processing Using GraphX
Optimizations and Performance Tuning
Index
Customer Reviews