🎉 🎉 RAPIDMINER 9.10 IS OUT!!! 🎉🎉
Download the latest version helping analytics teams accelerate time-to-value for streaming and IIOT use cases.
Feature importance operators fail on datasets with features without any data
- Weight by Information Gain Ratio
- Weight by Information Gain
- Weight by Gini
- Weight by Uncertainty
Exception: java.lang.ArrayIndexOutOfBoundsException<br>Message: 0
Exception: com.rapidminer.example.AttributeTypeException<br>Message: Cannot map index of nominal attribute to nominal value: index 0 is out of bounds!
- Sometimes I want to report the relevance of all the features in the dataset.
- I dislike when a time consuming process fails because of some unlucky random seed in cross-validation...
Reasoning: I didn't test all the operators. And there is a good chance other operators might share the same "halt the world" trait.