"""Data processing modules based on scikit-learn and Citrination"""

# helper function - to set parameters for scalers and models
def set_param(m_s, param):
    for k, v in param.items():
        if isinstance(v, list):
            setattr(m_s, k, np.array(v))
        else:
            setattr(m_s, k, v)




