Milestone: version 0.1.0

[mbillingr]

Version 0.1.0 marks the end of the experimental development period. It will focus on functionality rather than usability.

Non-goals:

• Ease of use
  • Don't provide impls of Data traits for builtin types. This is difficult because of conflicts.(i.e. a regressor and a classifier may both want to implement SampleDescription for [X], but they can't because they require different SampleDescriptions.) This prevents usage like model.predict([5]). Instead this would need to be written as something like model.predict(Sample::new([5], ())).

To-Dos:

• README
• Basic documentation
• Structure: how to organize modules, traits, structs, ...
• Usable high-level API (simple but flexible)
  • ExtraTreesRegressor
  • ExtraTreesClassifier
  • RandomForest
    • Bootstrapping: Implement Bootstrapping #25
    • CART: Implement CART trees #27
    • Regressor
    • Classifier
• More low-level components
  • Probabilistic leaf predictors
    • ConstGaussian
    • LinearRegression
  • Prototype Probabilistic/Soft Tree components