What's New in RapidMiner Studio 9.3.1?

Released:June 6th, 2019

The following describes the features, enhancements and bug fixes in RapidMiner Studio 9.3.1:

Auto Model: Added newQuality Measuresoperator. This operator provides the same quality measurements used by Auto Model's Select Inputs step.

Improved repository location parameters to correctly reference connection entries relative to a process
Auto Model: now also optimizes the learning rate for Gradient Boosted Tree models
Auto Model: new visualizations for hyper parameter optimization charts depending on the number of parameters
Auto Model: shows an improved error message for the rare cases where due to preprocessing the number of different classes was reduced to 1
Auto Model: saved results now also include a process for applying the created model on new data sets
Forecast Validationoperator now also works on nominal and date_time time series (to support Default Model Forecasts for such time series)

Fixed a memory leak for database operators (happening in particular in parallel loops)
Fixed an issue with stopping processes that contain loops with 10.000+ parallel iterations
Fixed another issue that could under very rare circumstances freeze the GUI
If a relative path in a process contains too many ../ sections to select the parent folder(s), but the top level repository folder has already been reached, additional ../ sections will simply be ignored. This fixes the problem that copying a process with relative paths from a more nested structure to a less nested structure could cause unecessary errors. Of course if the referenced data is not found, it will still result in an error at process runtime.
检索operator now shows correct warning again if the selected repository entry does not exist
Moving Average Filteroperator: Added compatibility for 9.2.1, cause the new left and right size filter parameters overwrite old symmetric filter size parameter for the simple filter type
Fixed possible out of memory error with large Gradient Boosted Trees models

The operator execution is now done inside a worker pool. This means that parallel Streams are executed in the same dedicated pool automatically.
Time Series Extension: Changed tutorial keys to include operator key instead of operator name, so that the documentation project can handle the keys better