Concatenate In RapidMiner: Faster Data Prep, Better Results

Generate concatenation (rapidminer studio core) synopsis this operator merges two attributes into a single new attribute by concatenating their values. The new attribute is of nominal type. Generate concatenation (ai studio core) synopsis this operator merges two attributes into a single new attribute by concatenating their values. The new attribute is of nominal type. Pass your data to auto model to help you build a model.

Save your data preparation step as a rapidminer process, for later reuse. In your case removing the time portion from the date would probably be sufficient. Put the operator generate attributes right before the aggregation/pivoting with the following. This operator creates a single documents out of a collection of documents by concatenating them. The resulting document will contain all tokens contained in the documents in the collection. By optimizing embeddings, you can make your rapidminer workflows better. This leads to more accurate predictions, faster training, and better results in your projects. In this tutorial, we take a look at the best methods to merge different datasets together using turbo prep on the rapidminer platform. Learn more about rapid.