code: def simple_feedforward_estimator():
      return (
          SimpleFeedForwardEstimator,
          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,
              num_parallel_samples=1,
          ),
      )
  
file_path: gluonts/test/nursery/sagemaker_sdk/test_entry_point_scripts.py
imports: import argparse
  import platform
  import tempfile
  from pathlib import Path
  import pytest
  from gluonts.core import serde
  from gluonts.dataset.repository import get_dataset
  from gluonts.mx import SimpleFeedForwardEstimator
  from gluonts.nursery.sagemaker_sdk.defaults import NUM_SAMPLES, QUANTILES
  from gluonts.nursery.sagemaker_sdk.entry_point_scripts.train_entry_point import train
label_desc: Use image node_id 2 for calling a global function with example usage: simple_feedforward_estimator() and returns: SimpleFeedForwardEstimator,  dict