class_docstr: Convert a pandas DataFrame to a suitable VW format.
  Instances of this class are built with classes such as SimpleLabel,
  MulticlassLabel, Feature or Namespace.
  
  The class also provided a convenience constructor to initialize the class
  based on the target/features column names only.
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docstr: Process the features (of a namespace) into a unique column.
  
  Args:
      features: The list of Feature objects.
  
  Returns:
      The column of the processed features.
docstr_tok: ["Process","the","features","(","of","a","namespace",")","into","a","unique","column",".","Args",":","features",":","The","list","of","Feature","objects",".","Returns",":","The","column","of","the","processed","features","."]
code: def process_features(self, features: List[Feature]) -> pd.Series:
      """Process the features (of a namespace) into a unique column.
  
      Args:
          features: The list of Feature objects.
  
      Returns:
          The column of the processed features.
      """
      out = self.empty_col()
      for feature in features:
          out += " " + feature.process(self.df)
      return out
  
imports: import warnings
  import numpy
  import pandas
  from typing import Any, Hashable, List, Optional, Tuple, Type, Union
label_desc: Use image node_id 15 for calling the DFtoVW obj's underlying member method code with example usage: obj.process_features(features) and returns: out