'Setup transformer.
Each time a transformed is involved in a pipeline, a new transformer
instance is created and chained into the pipeline. i.e. transformer
instance is per pipeline. This helps if transformer need keep some
cache and per-pipeline information.
:param kwargs: The parameters that are defined in pipeline config file.'

def __init__(self, **kwargs):

    super(TransformerBase, self).__init__()
