original_docstring:  Add a new sample to the training set
  
              :param data:  A new sample for the training set.
              :type  data:  list of float
              :param class_label:    The label of the new sample.
              :type  class_label:    str
              :param default:  Specifies if the sample is added to the current
                               training set or to a future training set
              :param default:  bool
          
docstring: Add a new sample to the training set
docstring_tokens: Add a new sample to the training set
code: def add_new_sample(self, data, class_label=None, default=False):
          """ Add a new sample to the training set
  
              :param data:  A new sample for the training set.
              :type  data:  list of float
              :param class_label:    The label of the new sample.
              :type  class_label:    str
              :param default:  Specifies if the sample is added to the current
                               training set or to a future training set
              :param default:  bool
          """
          raise NotImplementedError(
              "The node %s does not implement a add sample routine." \
              % self.__class__.__name__)
code_tokens: def add_new_sample ( self , data , class_label = None , default = False ) : raise NotImplementedError ( "The node %s does not implement a add sample routine." % self . __class__ . __name__ )
short_docstring: Add a new sample to the training set
short_docstring_tokens: Add a new sample to the training set
comment: """ Add a new sample to the training set
  
              :param data:  A new sample for the training set.
              :type  data:  list of float
              :param class_label:    The label of the new sample.
              :type  class_label:    str
              :param default:  Specifies if the sample is added to the current
                               training set or to a future training set
              :param default:  bool
          """