From sklearn to tensorflow regularization

elastic_net_to_keras.py

def elastic_net_to_keras(alpha: float, l1_ratio: float):
    """
    Converts ElasticNet parameters from sklearn to Keras regularizers.
    
    Arguments
    ---------
    alpha: float
        The regularization strength of the model.
    l1_ratio: float
        The l1 regularization ratio of the model.
    
    Returns
    -------
    l1: float
        The l1 regularization strength of the model in tensorflow
    l2: float
        The l2 regularization strength of the model in tensorflow
    """
    l1 = alpha * l1_ratio
    l2 = alpha * (1 - l1_ratio) / 2
    return l1, l2