code: def __init__(
      self, num_parallel_samples: int = 100, *args, **kwargs
  ) -> None:
      super().__init__(*args, **kwargs)
      self.num_parallel_samples = num_parallel_samples
  
imports: from typing import List, Tuple
  import mxnet
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from gluonts.mx.block.scaler import MeanScaler, NOPScaler
  from gluonts.mx.distribution import DistributionOutput
  from gluonts.mx.util import weighted_average
label_desc: Use image node_id 1 to create a new SimpleFeedForwardDistributionNetwork object from inherited base classes: SimpleFeedForwardNetworkBase with example: obj = SimpleFeedForwardDistributionNetwork(num_parallel_samples)