def __init__(self,
epochs,
loss = 'binary_crossentropy',
init_method = 'he_normal',
optimizer = {},
penalty = 'lasso',
penalty_weight = 0,
l1_ratio = 0.5):
self.epochs = epochs
self.loss = objective(loss)
self.init_method = init(init_method)
self.optimizer = optimize(optimizer)
self.activate = activation('sigmoid')
self.regularization = regularize(penalty, penalty_weight, l1_ratio = l1_ratio)
def __init__(self,
epochs,
loss='mean_squared_error',
init_method='he_uniform',
optimizer={},
penalty='ridge',
penalty_weight=0.5,
l1_ratio=0.5):
self.epochs = epochs
self.loss = objective(loss)
self.init_method = init(init_method)
self.optimizer = optimize(optimizer)
self.regularization = regularize(penalty,
penalty_weight,
l1_ratio=l1_ratio)