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‎advanced_functionality/r_bring_your_own/Dockerfile

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FROM ubuntu:16.04
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MAINTAINER David Arpin <arpin@amazon.com>
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MAINTAINER Amazon SageMaker Examples <amazon-sagemaker-examples@amazon.com>
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RUN apt-get -y update && apt-get install -y --no-install-recommends \
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wget \

‎advanced_functionality/r_bring_your_own/README.md

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*Dockerfile:* is the necessary configuration for building a docker container that calls the `mars.R` script.
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*build_and_push.sh:* is a short shell script that will build and publish the algorithm's Docker container to AWS ECR. Running `source build_and_push.sh rmars` from the shell of a system with Docker and the proper credentials will create an ECR container that aligns to `r_bring_your_own.ipynb`.
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*r_bring_your_own.ipynb:* is a notebook that calls the custom container once built and pushed into ECR.

‎advanced_functionality/r_bring_your_own/build_and_push.sh

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‎advanced_functionality/r_bring_your_own/iris.csv

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Sepal.Length,Sepal.Width,Petal.Length,Petal.Width,Species
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5.1,3.5,1.4,0.2,setosa
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4.9,3,1.4,0.2,setosa
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4.7,3.2,1.3,0.2,setosa
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4.6,3.1,1.5,0.2,setosa
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5,3.6,1.4,0.2,setosa
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5.4,3.9,1.7,0.4,setosa
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4.6,3.4,1.4,0.3,setosa
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5,3.4,1.5,0.2,setosa
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4.4,2.9,1.4,0.2,setosa
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4.9,3.1,1.5,0.1,setosa
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5.4,3.7,1.5,0.2,setosa
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4.8,3.4,1.6,0.2,setosa
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4.8,3,1.4,0.1,setosa
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4.3,3,1.1,0.1,setosa
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5.8,4,1.2,0.2,setosa
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5.7,4.4,1.5,0.4,setosa
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5.4,3.9,1.3,0.4,setosa
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5.1,3.5,1.4,0.3,setosa
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5.7,3.8,1.7,0.3,setosa
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5.1,3.8,1.5,0.3,setosa
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5.4,3.4,1.7,0.2,setosa
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5.1,3.7,1.5,0.4,setosa
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4.6,3.6,1,0.2,setosa
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5.1,3.3,1.7,0.5,setosa
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4.8,3.4,1.9,0.2,setosa
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5,3,1.6,0.2,setosa
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5,3.4,1.6,0.4,setosa
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5.2,3.5,1.5,0.2,setosa
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5.2,3.4,1.4,0.2,setosa
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4.7,3.2,1.6,0.2,setosa
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4.8,3.1,1.6,0.2,setosa
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5.4,3.4,1.5,0.4,setosa
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5.2,4.1,1.5,0.1,setosa
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5.5,4.2,1.4,0.2,setosa
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4.9,3.1,1.5,0.2,setosa
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5,3.2,1.2,0.2,setosa
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5.5,3.5,1.3,0.2,setosa
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4.9,3.6,1.4,0.1,setosa
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4.4,3,1.3,0.2,setosa
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5.1,3.4,1.5,0.2,setosa
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5,3.5,1.3,0.3,setosa
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4.5,2.3,1.3,0.3,setosa
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4.4,3.2,1.3,0.2,setosa
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5,3.5,1.6,0.6,setosa
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5.1,3.8,1.9,0.4,setosa
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4.8,3,1.4,0.3,setosa
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5.1,3.8,1.6,0.2,setosa
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4.6,3.2,1.4,0.2,setosa
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5.3,3.7,1.5,0.2,setosa
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5,3.3,1.4,0.2,setosa
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7,3.2,4.7,1.4,versicolor
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6.4,3.2,4.5,1.5,versicolor
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6.9,3.1,4.9,1.5,versicolor
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5.5,2.3,4,1.3,versicolor
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6.5,2.8,4.6,1.5,versicolor
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5.7,2.8,4.5,1.3,versicolor
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6.3,3.3,4.7,1.6,versicolor
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4.9,2.4,3.3,1,versicolor
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6.6,2.9,4.6,1.3,versicolor
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5.2,2.7,3.9,1.4,versicolor
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5,2,3.5,1,versicolor
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5.9,3,4.2,1.5,versicolor
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6,2.2,4,1,versicolor
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6.1,2.9,4.7,1.4,versicolor
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5.6,2.9,3.6,1.3,versicolor
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6.7,3.1,4.4,1.4,versicolor
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5.6,3,4.5,1.5,versicolor
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5.8,2.7,4.1,1,versicolor
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6.2,2.2,4.5,1.5,versicolor
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5.6,2.5,3.9,1.1,versicolor
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5.9,3.2,4.8,1.8,versicolor
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6.1,2.8,4,1.3,versicolor
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6.3,2.5,4.9,1.5,versicolor
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6.1,2.8,4.7,1.2,versicolor
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6.4,2.9,4.3,1.3,versicolor
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6.6,3,4.4,1.4,versicolor
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6.8,2.8,4.8,1.4,versicolor
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6.7,3,5,1.7,versicolor
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6,2.9,4.5,1.5,versicolor
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5.7,2.6,3.5,1,versicolor
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5.5,2.4,3.8,1.1,versicolor
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5.5,2.4,3.7,1,versicolor
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5.8,2.7,3.9,1.2,versicolor
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6,2.7,5.1,1.6,versicolor
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5.4,3,4.5,1.5,versicolor
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6,3.4,4.5,1.6,versicolor
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6.7,3.1,4.7,1.5,versicolor
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6.3,2.3,4.4,1.3,versicolor
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5.6,3,4.1,1.3,versicolor
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5.5,2.5,4,1.3,versicolor
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5.5,2.6,4.4,1.2,versicolor
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6.1,3,4.6,1.4,versicolor
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5.8,2.6,4,1.2,versicolor
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5,2.3,3.3,1,versicolor
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5.6,2.7,4.2,1.3,versicolor
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5.7,3,4.2,1.2,versicolor
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5.7,2.9,4.2,1.3,versicolor
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6.2,2.9,4.3,1.3,versicolor
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5.1,2.5,3,1.1,versicolor
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5.7,2.8,4.1,1.3,versicolor
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6.3,3.3,6,2.5,virginica
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5.8,2.7,5.1,1.9,virginica
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7.1,3,5.9,2.1,virginica
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6.3,2.9,5.6,1.8,virginica
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6.5,3,5.8,2.2,virginica
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7.6,3,6.6,2.1,virginica
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4.9,2.5,4.5,1.7,virginica
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7.3,2.9,6.3,1.8,virginica
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6.7,2.5,5.8,1.8,virginica
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7.2,3.6,6.1,2.5,virginica
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6.5,3.2,5.1,2,virginica
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6.4,2.7,5.3,1.9,virginica
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6.8,3,5.5,2.1,virginica
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5.7,2.5,5,2,virginica
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5.8,2.8,5.1,2.4,virginica
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6.4,3.2,5.3,2.3,virginica
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6.5,3,5.5,1.8,virginica
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7.7,3.8,6.7,2.2,virginica
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7.7,2.6,6.9,2.3,virginica
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6,2.2,5,1.5,virginica
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6.9,3.2,5.7,2.3,virginica
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5.6,2.8,4.9,2,virginica
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7.7,2.8,6.7,2,virginica
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6.3,2.7,4.9,1.8,virginica
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6.7,3.3,5.7,2.1,virginica
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7.2,3.2,6,1.8,virginica
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6.2,2.8,4.8,1.8,virginica
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6.1,3,4.9,1.8,virginica
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6.4,2.8,5.6,2.1,virginica
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7.2,3,5.8,1.6,virginica
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7.4,2.8,6.1,1.9,virginica
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7.9,3.8,6.4,2,virginica
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6.4,2.8,5.6,2.2,virginica
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6.3,2.8,5.1,1.5,virginica
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6.1,2.6,5.6,1.4,virginica
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7.7,3,6.1,2.3,virginica
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6.3,3.4,5.6,2.4,virginica
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6.4,3.1,5.5,1.8,virginica
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6,3,4.8,1.8,virginica
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6.9,3.1,5.4,2.1,virginica
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6.7,3.1,5.6,2.4,virginica
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6.9,3.1,5.1,2.3,virginica
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5.8,2.7,5.1,1.9,virginica
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6.8,3.2,5.9,2.3,virginica
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6.7,3.3,5.7,2.5,virginica
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6.7,3,5.2,2.3,virginica
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6.3,2.5,5,1.9,virginica
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6.5,3,5.2,2,virginica
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6.2,3.4,5.4,2.3,virginica
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5.9,3,5.1,1.8,virginica

‎advanced_functionality/r_bring_your_own/mars.R

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# Copyright [first edit year]-[latest edit year] Amazon.com, Inc. or its affiliates. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at
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#
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# http://aws.amazon.com/apache2.0/
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#
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# or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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# Bring in library that contains multivariate adaptive regression splines (MARS)
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library(mda)
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‎advanced_functionality/r_bring_your_own/plumber.R

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# plumber.R
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# Copyright [first edit year]-[latest edit year] Amazon.com, Inc. or its affiliates. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with the License. A copy of the License is located at
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#
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# http://aws.amazon.com/apache2.0/
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#
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# or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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#' Ping to show server is there
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#' @post /ping
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#' @get /ping
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function() {
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list(status='200', code='200')}
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return('')}
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#' Parse input and return prediction from model

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