Machine Learning realtime cache with Redis
use python 3.5.2
Only redis-client library for python is required.
> cd /d/home/site/tools/
> python -m pip install azure
> python -m pip install redis
Then, put some configs on file and send post request and put body just following as json type. "Inputs" should follow the definition of azure ML we will use.
{
"inputs": [
[ "0", "0", "0", "0", "0", "0", "0", "0", "value", "value", "0", "0", "0", "value", "value" ],
[ "2", "30", "100", "300", "100", "00", "500", "300", "value", "value", "0", "0", "0", "value", "value" ]
]
}If azure function do correctly, you will see this response
{"2":"['100', '100', '0', '500', '300', 'value', 'Y', '0.997041344642639']","0":"['0', '0', '0', '0', '0', 'value', 'Y', '0.994130671024323']"}