class_docstr: Simulated Task consisting in training a fully-connected network.
code: def call(
      self,
      learning_rate: float,
      batch_size: int,
      units_layer1: int,
      units_layer2: int,
      dropout_rate_l1: float,
      dropout_rate_l2: float,
  ) -> List[Dict]:
      return super().call(
          learning_rate=learning_rate,
          batch_size=batch_size,
          units_layer1=units_layer1,
          units_layer2=units_layer2,
          dropout_rate_l1=dropout_rate_l1,
          dropout_rate_l2=dropout_rate_l2,
      )
  
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 1 for calling the ProfetFcNetTask obj's underlying member method code with example usage: obj.call(learning_rate, batch_size, units_layer1, units_layer2, dropout_rate_l1, dropout_rate_l2) and returns: super