code: def main():
      batch_size = 64
      output_basename = "regression"
      hdf_files = generate_hdf(
          str(
              Path(__file__).absolute().parents[1]
              / "regression"
              / "regression.train"
          ),
          output_basename,
          batch_size,
      )
  
      create_dataset_from_multiple_hdf(hdf_files, batch_size=batch_size)
  
file_path: LightGBM/examples/python-guide/dataset_from_multi_hdf5.py
imports: from pathlib import Path
  import h5py
  import numpy
  import pandas
  import lightgbm
label_desc: Use image node_id 4 for calling a global function with example usage: main() without return types