First Pre-Release

This is the initial release. The base version of the random forests algorithm is implemented and stable.
Further notable features are :

• honesty: Using different parts of the training set for creating the skeleton of the tree and estimating the means in the leaves.
• multilayer forestry: A combination of random forests and gradient boosting.
• ridge forestry: A version of the random forests algorithms that returns a linear function in each leaf.