bayeso.trees.trees_generic_trees

It defines generic trees.

bayeso.trees.trees_generic_trees.get_generic_trees(X: ndarray, Y: ndarray, num_trees: int, depth_max: int, size_min_leaf: int, ratio_sampling: float, replace_samples: bool, num_features: int, split_random_location: bool) → list

It returns a list of generic trees.

Parameters:

• X (np.ndarray) – inputs. Shape: (N, d).

• Y (str.) – outputs. Shape: (N, 1).

• num_trees (int.) – the number of trees.

• depth_max (int.) – maximum depth of tree.

• size_min_leaf (int.) – minimum size of leaf.

• ratio_sampling (float) – ratio of dataset subsampling.

• replace_samples (bool.) – flag for replacement.

• num_features (int.) – the number of split features.

• split_random_location (bool.) – flag for random split location.

Returns:

list of trees

Return type:

list

Raises:

AssertionError