Assume the following scenario
I have the resources to collect only 60 days of data
My job has been running for more than 200 days
Today I found out we captured an anomaly and we wanted to remove this through the following steps
- Create calendar event that will have the timeline of anomaly occurance. This is to skip data from being learnt by the new job
- Clone the existing job and run the cloned job
The problem with above approach is that the cloned job is trained only on the last 60 days of data. However my old job was based on a model that learnt from 200 days of data. So is there a way to take a snapshot of the model at any point of time (in this case, I want the snapshot of the model just before anomaly)? If yes, can I import this model in the cloned job and start feeding more data?