class_docstr: Wrapper around LC-Net
code: def __init__(self, max_num_epochs):
      self.max_num_epochs = max_num_epochs
      self.model = LCNet(
          sampling_method="sghmc",
          l_rate=np.sqrt(1e-4),
          mdecay=0.05,
          n_nets=100,
          burn_in=5000,
          n_iters=30000,
          get_net=get_lc_net,
          precondition=True,
      )
  
file_path: auptimizer/src/aup/Proposer/hpbandster/optimizers/learning_curve_models/lcnet.py
imports: import numpy
  from hpbandster.learning_curve_models.base import LCModel
  from robo.models.lcnet import LCNet, get_lc_net
label_desc: Use image node_id 1 to create a new LCNetWrapper object from inherited base classes: LCModel with example: obj = LCNetWrapper(max_num_epochs)