Choosing the right applications
You have successfully framed your ML project as a forecasting problem and you have collected some historical time series datasets. Is Amazon Forecast a good candidate to deliver the desired insights? Let's review some considerations that will help you understand whether Amazon Forecast is suitable for your forecasting scenario—namely, the following:
- Latency requirements
- Dataset requirements
- Use-case requirements
All in all, reading through these requirements will help you define when Amazon Forecast is best suited for a given problem. You will also understand when it is not likely to be a good candidate for this. You will have some pointers on what you need to do to adjust your problem framework so that it matches Amazon Forecast's native capabilities.
Latency requirements
With Amazon Forecast, the training must happen in the cloud—if your data is not available in cloud storage such as Amazon S3, the...