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Applied Supervised Learning with R

You're reading from  Applied Supervised Learning with R

Product type Book
Published in May 2019
Publisher
ISBN-13 9781838556334
Pages 502 pages
Edition 1st Edition
Languages
Authors (2):
Karthik Ramasubramanian Karthik Ramasubramanian
Profile icon Karthik Ramasubramanian
Jojo Moolayil Jojo Moolayil
Profile icon Jojo Moolayil
View More author details
Toc

Table of Contents (12) Chapters close

Applied Supervised Learning with R
Preface
1. R for Advanced Analytics 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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