class_docstr: Simulated Task consisting in training a fully-connected network.
code: def get_search_space(self) -> Dict[str, str]:
      return dict(
          learning_rate="loguniform(1e-6, 1e-1)",
          batch_size="loguniform(8, 128, discrete=True)",
          units_layer1="loguniform(16, 512, discrete=True)",
          units_layer2="loguniform(16, 512, discrete=True)",
          dropout_rate_l1="uniform(0, 0.99)",
          dropout_rate_l2="uniform(0, 0.99)",
      )
  
imports: from dataclasses import dataclass
  from typing import ClassVar, Dict, List, Tuple
  from orion.benchmark.task.profet.profet_task import ProfetTask
label_desc: Use image node_id 2 for calling the ProfetFcNetTask obj's underlying member method code with example usage: obj.get_search_space() and returns: dict