Hi I wonder if we can use the LoudML for optimization use case?
For example we have multiple features and one Target/Label.
The value of Target/Label depends on thr value of features.
Assuming we have 5 features (f1,f2,f3,f4,f5) and 1 target (T1),
The use case is, I want to predict T1 value based on my current features value.
Most of the examples in LoudML is for anomaly detection and Forecasting timeseries.
Hi I wonder if we can use the LoudML for optimization use case?
For example we have multiple features and one Target/Label. The value of Target/Label depends on thr value of features. Assuming we have 5 features (f1,f2,f3,f4,f5) and 1 target (T1), The use case is, I want to predict T1 value based on my current features value.
Most of the examples in LoudML is for anomaly detection and Forecasting timeseries.
I hope it has some applications for optimization.
Thanks!
Regards, Henjoe