def __init__(self, eta=0.1, epochs=50, print_progress=0,
                 random_seed=None, dtype=None):
        super(TfLinearRegression, self).__init__(print_progress=print_progress,
                                                 random_seed=random_seed)
        self.eta = eta
        self.epochs = epochs
        if dtype is None:
            self.dtype = tf.float32
        else:
            self.dtype = dtype
Parameters
dataset/ETHPy150Open rasbt/mlxtend/mlxtend/tf_regressor/tf_linear_regression.py/TfLinearRegression.__init__