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kernel_regularizer=regularizers.l1(0.001))) model.add(Dense(units = 1, activation = 'linear')) model.compile(loss='mse', optimizer=Adam, metrics='mae') hist = model.fit(y=y, x=x, epochs=epochs, verbose=verbose, batch_size=batch_size, validation_data =(x_val, y_val)) return model, hist Here, within