Hello everyone, I am sorry if this is a dumb question but I’m stuck so please bear with me.
I am trying to forecast a feature for IoT data using LSTMs and one of the preprocessing steps involves ‘Standardization’ which I’m doing through sklearn’s MinMaxScaler function. Now my question is how do I pass the MinMaxScaler to my AWS deployment for similar conversion of data at inference time? I can’t hard code the value because I intend to use the same model architecture over and over for different machines.
Please help me out with this as this is the first time I’m trying to deploy a model. Thanks in advance.