From 2af2e35b903aeaec40718c1f3b1ff8c0bc7cd7b4 Mon Sep 17 00:00:00 2001 From: Amit Banerjee Date: Sun, 4 Nov 2018 23:13:29 -0800 Subject: [PATCH] Update README.md --- samples/features/r-services/loan-classification/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/samples/features/r-services/loan-classification/README.md b/samples/features/r-services/loan-classification/README.md index a04477fa..a309fc1c 100644 --- a/samples/features/r-services/loan-classification/README.md +++ b/samples/features/r-services/loan-classification/README.md @@ -1,4 +1,4 @@ -# Loan Classification using SQL Server 2016 R Services# +# Loan Classification using SQL Server 2016 R Services # Joseph Sirosh, Data Group Corporate Vice President, had shown during his keynote session how customers are able to achieve a scale up of 1 million predictions/sec using SQL Server 2016 R Services. This sample contains all the scripts required to emulate a similar setup using Lending Club data with SQL Server 2016 R Services and an Azure Data Science VM.