1.2.0

The key features of the 1.2.0 release are:

• Headless plot. Smile’s plot functions depends on Java Swing. In server applications, it is needed to generate plots without creating Swing windows. With headless plot (enabled by -Djava.awt.headless=true JVM options), we can create plots as follows:

val canvas = ScatterPlot.plot(x, '.')

val headless = new Headless(canvas);
headless.pack();
headless.setVisible(true);

canvas.save(new java.io.File("zone.png"))

• All classification and regression models can be serialized by

write(model) // Java serialization

or

write.xstream(model) // XStream serialization

• Refactor of smile.io Scala API.
  • Parsers are in smile.read object.
  • Parse JDBC ResultSet to AttributeDataset.
  • Model serialization methods in smile.write object.
• Platt scaling for SVM
• Smile NLP tokenizers are unicode-aware.
• Least squares can handle rank deficient now.
• Various code improvements.