Time Series Extension - Release of the Alpha Version 0.1.2
Dear Community,
This is the first of a series of blog posts planned for the new Time Series Extension (Marketplace).
We, the RapidMiner Research Team, are pleased to announce a complete rebuild of the already popular Series Extension. The existing Series Extension was received with much excitement with advanced and cool features such as windowing, FFTs, lagging, and much more. However we have received your feedback about its difficulty to use and hence we are replacing the old Series Extension step-by-step with a completely new product.
The Alpha version is now available in the Marketplace: Time Series Extension and updates will be published as additional features are added.
The new Time Series Extension will add more functionality, tutorial processes and improved usability. We are also adding more features to the extension, including the possibility to forecast Time Series values using a (currently simple) ARIMA model.
In addition, the new Time Series Extension will come with a set of Time Series data samples and several template processes to explore.
In addition, we are focusing to publish this extension with even better documentation to help users with Time Series analysis, including transformations, forecasting, feature extraction and more.
Figure 1: Sample process with documentation for the new Time Series Extension. The shown process is one of the template processes delivered by the extension.Figure 2: Results of the above shown sample process. The surface level of Lake Huron is shown, as well as two kinds of filters and a forecast using an ARIMA model.
We plan to improve the extension in the next months and gradually include more features. We are also glad to get your feedback as soon as possible. So feel free to post every bug, usability problem, feature request or any feedback you have in the Product Feedback Area in the RapidMiner Community.
Stay tuned for the next blog post comprising details about the features provided by version 0.1.2 of the Time Series Extension!
Time Series Extension Blog Posts:
01 Release of the Alpha Version 0.1.2
Answers
This is great news @tftemme, thanks so much. GIve my best to the team!
Great news
Looking forward to hearing about the release...
Cheers
Chill
Hello, how many operators are there in the Time Series extension ?
hi @anaelle_gardan there are eight operators in the new Time Series extension: Moving Average Filter, ARIMA Trainer, Apply Forecast, Generate Data (ARIMA), Differentiation, Logarithm, Normalization, and Check Equidistance. You can read all about it here: https://marketplace.rapidminer.com/UpdateServer/faces/product_details.xhtml?productId=rmx_timeseries
Scott