code: def hyperparameters(dsinfo):
      return dict(
          ctx="cpu",
          epochs=1,
          learning_rate=1e-2,
          hybridize=True,
          cardinality=dsinfo.cardinality,
          num_batches_per_epoch=1,
          time_features=dsinfo.time_features,
          use_symbol_block_predictor=False,
          # FIXME: test_shell fails with use_symbol_block_predictor=True
          # FIXME and float_type = np.float64
      )
  
imports: import pytest
  from gluonts.mx.model.gp_forecaster import GaussianProcessEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: hyperparameters(dsinfo) and returns: dict