code: def save_hdf5(X, y, path):
      
  
      with h5py.File(path, 'w') as f:
          is_sparse = 1 if sparse.issparse(X) else 0
          f['issparse'] = is_sparse
          f['target'] = y
  
          if is_sparse:
              if not sparse.isspmatrix_csr(X):
                  X = X.tocsr()
  
              f['shape'] = np.array(X.shape)
              f['data'] = X.data
              f['indices'] = X.indices
              f['indptr'] = X.indptr
          else:
              f['data'] = X
docs: Save data as a HDF5 file.
  
      Args:
          X (numpy or scipy sparse matrix): Data matrix
          y (numpy array): Target vector.
          path (str): Path to the HDF5 file to save data.