class_docstr: Evaluator for constrained optimization task. Metric is the average property improvements, similarities and success rates under the similarity threshold 0.0, 0.2, 0.4, 0.6.
code: def __init__(self):
      pass
  
file_path: DIG/dig/ggraph/evaluation/metric.py
imports: from rdkit import Chem
  import numpy
  from dig.ggraph.utils import check_chemical_validity, qed, calculate_min_plogp, reward_target_molecule_similarity
label_desc: Use image node_id 1 to create a new ConstPropOptEvaluator object  with example: obj = ConstPropOptEvaluator()