Apparently ordering matters

  Abstract base class for different ML models.

  """

  def __init__(self, use_weights=True, **kwargs):

  def __init__(self, **kwargs):

    super(SklearnModel, self).__init__(**kwargs)

    self.use_weights = use_weights

    if 'use_weights' in kwargs:

      self.use_weights = kwargs['use_weights']

    else:

      self.use_weights = True

    for model_instance in NON_WEIGHTED_MODELS:

      if isinstance(self.model_instance, model_instance):

        self.use_weights = False