code: def get_ALEBOInitializer(
      search_space: SearchSpace,
      B: np.ndarray,
      seed: Optional[int] = None,
      **model_kwargs: Any,
  ) -> RandomModelBridge:
      return RandomModelBridge(
          search_space=search_space,
          model=ALEBOInitializer(B=B, seed=seed, **model_kwargs),
          transforms=ALEBO_X_trans,
      )
  
file_path: Ax/ax/modelbridge/strategies/alebo.py
imports: from typing import Any, Dict, Optional
  import numpy
  import torch
  from ax.core.data import Data
  from ax.core.experiment import Experiment
  from ax.core.search_space import SearchSpace
  from ax.modelbridge.factory import DEFAULT_TORCH_DEVICE
  from ax.modelbridge.generation_strategy import GenerationStep, GenerationStrategy
  from ax.modelbridge.random import RandomModelBridge
  from ax.modelbridge.registry import ALEBO_X_trans, ALEBO_Y_trans
  from ax.modelbridge.torch import TorchModelBridge
  from ax.models.random.alebo_initializer import ALEBOInitializer
  from ax.models.torch.alebo import ALEBO
label_desc: Use image node_id 1 for calling a global function with example usage: get_ALEBOInitializer(search_space, B, seed) and returns: RandomModelBridge