class_docstr: A decision tree node.
class_docstr_tok: ["A","decision","tree","node","."]
code: def __init__(
      self, gini, num_samples, num_samples_per_class, predicted_class
  ):
      self.gini = gini
      self.num_samples = num_samples
      self.num_samples_per_class = num_samples_per_class
      self.predicted_class = predicted_class
      self.feature_index = 0
      self.threshold = 0
      self.left = None
      self.right = None
  
imports: import numpy
  import ray
  from sklearn import datasets, metrics
  import time
  import tempfile
  import os
  import json
label_desc: Use image node_id 1 to create a new Node object  with example: obj = Node(gini, num_samples, num_samples_per_class, predicted_class)