class_docstr: This class wraps an optimizer to allow a human to provide additional guidance to it.
class_docstr_tok: ["This","class","wraps","an","optimizer","to","allow","a","human","to","provide","additional","guidance","to","it","."]
code: def __init__(self, baseOptimizer):
      super()
      self.baseOptimizer = baseOptimizer
      self.guidanceOptions = {
          "filteringMode": "none",
          "filteringPercentile": 0,
          "lockedParameters": [],
          "refitParameters": [],
          "scrambleParameters": [],
      }
  
file_path: hypermax/hypermax/algorithms/human_guided_optimizer_wrapper.py
imports: from .optimization_algorithm_base import OptimizationAlgorithmBase
  import hyperopt
  import functools
  import random
  import numpy
  import math
  import numpy.random
  from pprint import pprint
  from hypermax.hyperparameter import Hyperparameter
label_desc: Use image node_id 1 to create a new HumanGuidedOptimizerWrapper object from inherited base classes: OptimizationAlgorithmBase with example: obj = HumanGuidedOptimizerWrapper(baseOptimizer)