About: Debellor is a scalable and extensible platform which provides common architecture for data mining and machine learning algorithms of various types.

• Naming of numerous classes/methods/fields changed to be more accurate and comprehensible
• Weka and Rseslib libraries updated to the newest versions: Weka 3.6.1 & Rseslib 3.0.1. Debellor's wrappers adapted
• New class: CrossValidation - evaluator of trainable cells through cross-validation
• New class: RMSE - calculation of Root Mean Squared Error score
• Data objects can be compared and used in collections
• ArffReader can read from a user-provided java.io.InputStream
• More convenient use of parameters (setting values)
• More convenient use of data objects and data types (construction, type casting)
• Other minor improvements to existing classes
• Javadoc extended