🎉 🎉 RAPIDMINER 9.10 IS OUT!!! 🎉🎉
Download the latest version helping analytics teams accelerate time-to-value for streaming and IIOT use cases.
IDEAS WITH HIGH NUMBERS OF VOTES (USUALLY ≥ 10) ARE PRIORITIZED IN OUR ROADMAP.
NOTE: IF YOU WISH TO SUGGEST A NEW FEATURE, PLEASE POST A NEW QUESTION AND TAG AS "FEATURE REQUEST". THANK YOU.
Generate multiple visualizations from a RapidMiner process
- generate a set of scatter plots for the most correlated pairs of variables in a data set and store all resulting visualizations in the RapidMiner repository so that they can be easily viewed
- re-generate a previously generated visualization on new data, with exactly the same appearance as the previous time I generated it (without having to manually export and re-import a JSON definition of the visualization)
The only way I found to do this was through the Python scripting operator (use matplotlib and save the results to a PNG file in the RapidMiner repository). Is there a way to do the same thing using RapidMiner's visualizations (either using built-in operators or using an extension)?