bayeso.trees.trees_generic_trees¶
It defines generic trees.
-
bayeso.trees.trees_generic_trees.
get_generic_trees
(X: numpy.ndarray, Y: numpy.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