How to Build, Train and Deploy Your Own Recommender System â Part 2
We build a recommender system from the ground up with matrix factorization for implicit feedback systems. We then deploy the model to production in AWS.
nc <ipaddress of redis server> <port of redis server>
// once connected, run the following Redis commands
SELECT 0 // specify your Redis index here
+OK // Redis reply
FLUSHDB // now flush that DB index
+OK // Redis reply
QUIT // and then disconnect
+OK // Redis reply
Now thatâs nice, however it is not clear what you need to do if you want to do this operation remotely from a Windows machine and plug it into your CI/CD system.
It is surprisingly simple and can be done in a couple of lines of Powershell.
$redisCommands = "SELECT $redisDBIndex`r`nFLUSHDB`r`nQUIT`r`n"
$redisCommands | .\nc $redisServer 6379
In the first line, we are setting up the 3 Redis commands, but separating them in itâs own line (crlf). Because we are in Powershell we have the pipe (|) operator to make things easy. We simply pipe the commands to nc.
As simple as that.
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