bayeso.trees

These files are written to implement tree-based regression models.

1. Breiman, L. (1996). Bagging Predictors. Machine Learning, 24(2), pp. 123–140.

2. Dietterich, T. G. (2000). An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization. Machine Learning, 40(2), pp. 139–157.

3. Breiman, L. (2001). Random Forests. Machine Learning, 45(1), pp. 5–32.

• bayeso.trees.trees_common
  • _mse()
  • _predict_by_tree()
  • _predict_by_trees()
  • _split()
  • _split_deterministic()
  • _split_left_right()
  • _split_random()
  • compute_sigma()
  • get_inputs_from_leaf()
  • get_outputs_from_leaf()
  • mse()
  • predict_by_trees()
  • split()
  • subsample()
  • unit_predict_by_trees()
• bayeso.trees.trees_generic_trees
  • get_generic_trees()
• bayeso.trees.trees_random_forest
  • get_random_forest()