Your forecast plugin looks great, but the flow takes all values as a single timeseries. Is it possible to specify a column to partition the data on? It would be nice to train and predict forecast models for multiple entities in one go.
Thanks for your interest in this recent plugin release.
If you want run the recipes to get multiple forecasting models per category (e.g. per product or store), you will need partitioning. That requires to have all datasets partitioned by 1 dimension for the category, using the discrete dimension feature in Dataiku. If the input data is not partitioned, you can use a Sync recipe to repartition it, as explained in this article.
Hope it helps,
We are proud to announce that we just released a new Forecast plugin. Among other features, it supports multivariate forecasting natively, with no need to partition your data 😎
Forecasting sales across 1000s of stores and departments is now as simple as this:
On top of this, you will benefit from the latest Deep Learning models from GluonTS such as DeepAR and Transformer.
Give it a try, let us know what you think, and reshare if you like it ❤️