code: def get_searchspace_binary():
      spaces = {
          # See docs: https://docs.fast.ai/tabular.learner.html
          "layers": space.Categorical(
              None,
              [200, 100],
              [200],
              [500],
              [1000],
              [500, 200],
              [50, 25],
              [1000, 500],
              [200, 100, 50],
              [500, 200, 100],
              [1000, 500, 200],
          ),
          "emb_drop": space.Real(0.0, 0.5, default=0.1),
          "ps": space.Real(0.0, 0.5, default=0.1),
          "bs": space.Categorical(256, 64, 128, 512, 1024, 2048, 4096),
          "lr": space.Real(5e-5, 1e-1, default=1e-2, log=True),
          "epochs": space.Int(lower=5, upper=30, default=30),
          "early.stopping.min_delta": 0.0001,
          "early.stopping.patience": 20,
      }
      return spaces
  
imports: from autogluon.common import space
  from autogluon.core.constants import BINARY, MULTICLASS, QUANTILE, REGRESSION
label_desc: Use image node_id 2 for calling a global function with example usage: get_searchspace_binary() and returns: spaces