BlackBoxAuditing/model_factories/SVM.py
def list_to_tf_input(data, response_index, num_outcomes):
  """
  Separates the outcome feature from the data.
  """
  matrix = np.matrix([row[:response_index] + row[response_index+1:] for row in data])
  outcomes = np.asarray([row[response_index] for row in data], dtype=np.uint8)

  return matrix, outcomes
def list_to_tf_input(data, response_index, num_outcomes):
  """
  Separates the outcome feature from the data.
  """
  matrix = np.matrix([row[:response_index] + row[response_index+1:] for row in data])
  outcomes = np.asarray([row[response_index] for row in data], dtype=np.uint8)

  return matrix, outcomes
Separates the outcome feature from the data.