def select_features_lasso(data, output_feature, input_features = None, user_standardization = True, user_max_iterations = 100,
    user_epsilon = 1.35):
  """
  data(Spark Dataframe): The data needed to perform feature selection on. It
  is a precondition that the data be clean and already have the schema the user
  wishes to work with

  output_feature(String): The name of the feature which is to be predicted
  (expected for there to be a feature )

  input_features(String List): A list of the names
  """