class_docstr: A transform that can operate on mini-batches.
class_docstr_tok: ["A","transform","that","can","operate","on","mini-batches","."]
docstr: Transform a mini-batch of features.
  
  Parameters
  ----------
  X
      A DataFrame of features.
  
  Returns
  -------
  A new DataFrame.
docstr_tok: ["Transform","a","mini-batch","of","features",".","Parameters","--","--","--","--","--","X","A","DataFrame","of","features",".","Returns","--","--","--","-","A","new","DataFrame","."]
code: def transform_many(self, X: pd.DataFrame) -> pd.DataFrame:
      """Transform a mini-batch of features.
  
      Parameters
      ----------
      X
          A DataFrame of features.
  
      Returns
      -------
      A new DataFrame.
  
      """
  
imports: from __future__ import annotations
  import abc
  import typing
  from river import base
label_desc: Use image node_id 1 for calling the MiniBatchTransformer obj's underlying member method code with example usage: obj.transform_many(X) without return types