Hi
I am working in a Forecasting problem. This is my procedure:
a) Standard scaler (supports partial fit)
b) Detect outliers using DBSCAN (does not support partial fit)
c) Forecast with Kalman filter (not sure of this???) or MLP (supports partial fit)
So, I would like to know if with this procedure is possible to use "partial fit" (incremental learning)? Or do all algorithms have to support partial fit?
Thank you
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