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Applied Supervised Learning with R

You're reading from   Applied Supervised Learning with R Use machine learning libraries of R to build models that solve business problems and predict future trends

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Product type Paperback
Published in May 2019
Publisher
ISBN-13 9781838556334
Length 502 pages
Edition 1st Edition
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Authors (2):
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Jojo Moolayil Jojo Moolayil
Author Profile Icon Jojo Moolayil
Jojo Moolayil
Karthik Ramasubramanian Karthik Ramasubramanian
Author Profile Icon Karthik Ramasubramanian
Karthik Ramasubramanian
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Table of Contents (12) Chapters Close

Applied Supervised Learning with R
Preface
1. R for Advanced Analytics FREE CHAPTER 2. Exploratory Analysis of Data 3. Introduction to Supervised Learning 4. Regression 5. Classification 6. Feature Selection and Dimensionality Reduction 7. Model Improvements 8. Model Deployment 9. Capstone Project - Based on Research Papers Appendix

Introduction to plumber


Plumber is an R package that helps in translating R functions into an HTTP API that can be invoked from other machines within a network, enabling communication between systems. By using R plumber, we will be able to achieve the advantages discussed, such as developing modularized, language agnostic, common communication language (JSON) based HTTP rest APIs that provide a defined path of communication between systems. Using plumber is extremely straightforward. With a few lines of code, we can convert our existing R functions into a web service that can be served as an endpoint.

In this chapter, we will extend the same model and use case we built in Chapter 7, Model Improvements, to classify whether a patient is diabetic using the PimaIndiasDiabetes dataset in the mlbench library. Later, we will extend the same use case to deploy the model as a web service using a Docker container and serverless applications.

Exercise 98: Developing an ML Model and Deploying It as a...

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