Hello everyone,
I would like to consult you for a modeling.
I have a process with a response Y and parameters X1, X2, X3, etc.
The analysis of the process took place over a long period of 3 years. I would now like to gather all the data to analyze the process as a whole. The problem is that the machine associated with the process has experienced some changes and even some hazards during these 3 years. All of them were identified as Evt_A, Evt_B, Evt_C at a specific date. In order to get a good modeling of Y, I would like to take into account not only the parameters X1, X2, X3, etc. but also the events A, B, C, etc. to know if they had a real influence and to quantify their influences. For the time being, I have introduced the events as categorical columns with the values -1 and +1, -1 meaning "before the event" and +1 "after the event".
I ask myself the following questions:
1. Is this the only way to proceed?
2. Is this the right way to proceed?
3. How to introduce correctly these events in the Fit Model platform? Should I use specific attributes? Are interactions possible?
I thank you in advance for all the help you can give me.
Sincerely,
Stéphane GEORGES