code: def hyperparameters():
      return dict(
          ctx="cpu",
          epochs=1,
          learning_rate=1e-2,
          hybridize=True,
          num_hidden_dimensions=[3],
          num_batches_per_epoch=1,
          use_symbol_block_predictor=True,
          distr_output=GaussianOutput(),
      )
  
imports: import pytest
  from gluonts.mx import SimpleFeedForwardEstimator
  from gluonts.mx.distribution import GaussianOutput
label_desc: Use image node_id 1 for calling a global function with example usage: hyperparameters() and returns: dict