class_docstr: Convert a sparse array into a dense array.
  
  For usage examples, please see
  https://rasbt.github.io/mlxtend/user_guide/preprocessing/DenseTransformer/
code: def __init__(self, return_copy=True):
      self.return_copy = return_copy
      self.is_fitted = False
  
file_path: mlxtend/mlxtend/preprocessing/dense_transformer.py
imports: from scipy.sparse import issparse
  from sklearn.base import BaseEstimator
label_desc: Use image node_id 1 to create a new DenseTransformer object from inherited base classes: BaseEstimator with example: obj = DenseTransformer(return_copy)