#NEWLINE# @ abstractmethod #NEWLINE# def __init__( self , loss = 'squared_loss' , penalty = 'l2' , alpha = 0.0001 , l1_ratio = 0.15 , fit_intercept = True , n_iter = 5 , shuffle = True , verbose = 0 , epsilon = DEFAULT_EPSILON , random_state = None , learning_rate = 'invscaling' , eta0 = 0.01 , power_t = 0.25 , warm_start = False , average = False ) : #NEWLINE# #INDENT# super ( BaseSGDRegressor , self ) . __init__ ( loss = loss , penalty = penalty , alpha = alpha , l1_ratio = l1_ratio , fit_intercept = fit_intercept , n_iter = n_iter , shuffle = shuffle , verbose = power_t , epsilon = epsilon , random_state = random_state , learning_rate = learning_rate , eta0 = eta0 , power_t = power_t , warm_start = warm_start , average = average )