code: def create_linear_search_space():
      from zoo.orca.automl import hp
  
      return {
          "dropout": hp.uniform(0.2, 0.3),
          "fc1_size": hp.choice([50, 64]),
          "fc2_size": hp.choice([100, 128]),
          LR_NAME: hp.choice([0.001, 0.003, 0.01]),
          "batch_size": hp.choice([32, 64]),
      }
  
file_path: analytics-zoo/pyzoo/zoo/examples/orca/automl/autoestimator/autoestimator_pytorch.py
imports: import numpy
  import argparse
  import torch
  import torch.nn
  from zoo.orca.automl.auto_estimator import AutoEstimator
  from zoo.orca.automl.pytorch_utils import LR_NAME
  from zoo.orca import init_orca_context, stop_orca_context
label_desc: Use image node_id 4 for calling a global function with example usage: create_linear_search_space() and returns: dict