Random hierarchy¶

Random binary partition tree with a controlled amount of asymmetry/unbalancedness. 

random_binary_partition_tree
(num_leaves, asymmetry_probability)[source]¶ Random binary partition tree with a controlled amount of asymmetry/unbalancedness.
The tree is grown from the root to the leaves. At each step, the algorithm randomly select one of the growable leaf node of the current tree. Two children are added to the selected node; the number of leaf nodes is hence increased by one. Then,
with probability \(1asymmetry\_probability\), both new children are marked as growable
with probability \(asymmetry\_probability\), only one of the children is marked as growable
The altitudes of the returned hierarchy are obtained with
attribute_regular_altitudes()
: The regular altitudes is comprised between 0 and 1 and is inversely proportional to the depth of a node.A valid minimal connected graph (a tree) is associated to the leaves of the tree.
 Parameters
num_leaves – expected number of leaves in the generated tree
asymmetry_probability – real value between 0 and 1. At 0 the tree is perfectly unbalanced, at 1 it is perfectly balanced (if
num_leaves
is a power of 2)
 Returns
a tree (Concept
CptBinaryHierarchy
) and its node altitudes