class_docstr: Mondrian Tree Regressor.
  
  Parameters
  ----------
  step
      Step of the tree.
  use_aggregation
      Whether to use aggregation weighting techniques or not.
  iteration
      Number iterations to do during training.
  seed
      Random seed for reproducibility.
  
  Notes
  -----
  The Mondrian Tree Regressor is a type of decision tree that bases splitting decisions over a
  Mondrian process.
  
  References
  ----------
  [^1]: Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh. Mondrian Forests: Efficient Online Random Forests.
      arXiv:1406.2673, pages 2-4.
class_docstr_tok: ["Mondrian","Tree","Regressor",".","Parameters","--","--","--","--","--","step","Step","of","the","tree",".","use_aggregation","Whether","to","use","aggregation","weighting","techniques","or","not",".","iteration","Number","iterations","to","do","during","training",".","seed","Random","seed","for","reproducibility",".","Notes","--","--","-","The","Mondrian","Tree","Regressor","is","a","type","of","decision","tree","that","bases","splitting","decisions","over","a","Mondrian","process",".","References","--","--","--","--","--","[","^1","]",":","Balaji","Lakshminarayanan",",","Daniel","M.","Roy",",","Yee","Whye","Teh",".","Mondrian","Forests",":","Efficient","Online","Random","Forests",".","arXiv:1406.2673",",","pages","2-4","."]
docstr: Check if the tree has learnt at least one sample
docstr_tok: ["Check","if","the","tree","has","learnt","at","least","one","sample"]
code: def _is_initialized(self):
      """Check if the tree has learnt at least one sample"""
      return self.iteration != 0
  
file_path: river/river/tree/mondrian/mondrian_tree_regressor.py
imports: from __future__ import annotations
  import math
  from river import base, utils
  from river.tree.mondrian.mondrian_tree import MondrianTree
  from river.tree.mondrian.mondrian_tree_nodes import MondrianBranchRegressor, MondrianLeafRegressor, MondrianNodeRegressor
label_desc: Use image node_id 2 for calling the MondrianTreeRegressor obj's underlying member method code with example usage: obj._is_initialized() and returns: unknown