code: def params_for(prefix, kwargs):
      
      if not prefix.endswith('__'):
          prefix += '__'
      return {key[len(prefix):]: val for key, val in kwargs.items()
              if key.startswith(prefix)}
docs: Extract parameters that belong to a given sklearn module prefix from
      ``kwargs``. This is useful to obtain parameters that belong to a
      submodule.
  
      Examples
      --------
      >>> kwargs = {'encoder__a': 3, 'encoder__b': 4, 'decoder__a': 5}
      >>> params_for('encoder', kwargs)
      {'a': 3, 'b': 4}