Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
Run forecast operator on STL decomposition
Learner I
Hello,
I'm a new user with Rapidminer and exploring some time series.
I have created a process with an STL decomposition and have 2 questions:
1) I see a clear seasonality pattern but the amplitude is growing (i.e. there is an increasing trend in my seasonality). Is this normal or should a look to set a parameter to try and keep the seasonality constant
2) Can I apply a forecast operator on the decomposition model to predict values in the future?
Thanks,
Bart
I'm a new user with Rapidminer and exploring some time series.
I have created a process with an STL decomposition and have 2 questions:
1) I see a clear seasonality pattern but the amplitude is growing (i.e. there is an increasing trend in my seasonality). Is this normal or should a look to set a parameter to try and keep the seasonality constant
2) Can I apply a forecast operator on the decomposition model to predict values in the future?
Thanks,
Bart
0
Answers
1) Yes, it's normal to have an increasing trend in the seasonal component of time series data.
2) Feel free to review this webinar briefing different time-series approaches to handle such variations.
https://rapidminer.com/resource/time-series-foundations/
Bonus: Here's an online book to understand Foresting Concepts!
https://otexts.com/fpp2/
Cheers,
Pavithra