LeafBuilder Class

LeafBuilder

LeafBuilder(X, Y, all_idx, **kwargs)

The base LeafBuilder class from which all other leaf builders must inherit.

Parameters:

Name	Type	Description	Default
X	ndarray	The feature values used for training.	required
Y	ndarray	The response values used for training.	required
all_idx	ndarray	A vector specifying samples of the training data that should be considered by the LeafBuilder.	required

build_leaf

build_leaf(leaf_id, indices, depth, impurity, weighted_samples, parent)

Builds a leaf node.

Parameters:

Name	Type	Description	Default
leaf_id	int	unique identifier of leaf node	required
indices	ndarray	indices in leaf node	required
depth	int	depth of leaf node	required
impurity	float	impurity of leaf node	required
weighted_samples	float	summed weight of all samples in the LeafNode	required
parent	DecisionNode	parent node	required

Returns:

Type	Description
Node	built leaf node