RevoPemaR: The Definitive Guide
RevoPemaR: The Definitive Guide
Code Efficient Parallel External Memory Algorithms
About the Book
Get started in your journey to writing scalable, distributable, and efficient Parallel External Memory Algorithms using RevoPemaR framework from Revolution Analytics. Unleash statistical analysis unbounded by memory constraints.
This book targets advanced R users with a minimum of 6 months of experience in Statistics. You should have worked with large datasets of size 8 GB or more to appreciate the importance of the material presented.
About the Author
Table of Contents
- Preface
- Software Requirements
- Audience
- About the Author
-
Introduction
- What are some of the challenges in modern day statistical data analysis?
- What are External Memory Algorithms (EMAs)?
- What are Parallel External Memory Algorithms (PEMAs)?
- What is RevoPemaR?
- When should I use RevoPemaR?
- What makes RevoPemaR an awesome framework for coding PEMAs?
-
RevoPemaR
- Reference Classes
- PemaBaseClass
- Useful functions in RevoPemaR
-
Demo Scripts
- PemaMean
- PemaMeanEx
- PemaPopularWords
- PemaPopularWordsEx
- PemaWordCount
- PemaWordCountEx
- PemaGradDescent
- PemaLogitGD
- PemaLogitGDEx
- PemaByGroup
- FineFoodsImport
- What should I do next?
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