code: def __init__(self, min_val, max_val, attribute_encoding_size):
      self.attribute_encoding_size = attribute_encoding_size
      self.max_val = max_val
      self.min_val = min_val
  
file_path: typedb-ml/typedb_ml/pytorch_geometric/transform/encode.py
imports: from typing import List
  import torch
  from torch.nn import Embedding
  from typedb_ml.networkx.iterate import multidigraph_node_data_iterator, multidigraph_edge_data_iterator
label_desc: Use image node_id 1 to create a new ContinuousEncoder object  with example: obj = ContinuousEncoder(min_val, max_val, attribute_encoding_size)