Created by: cdliheng

官方自带的“基本使用概念”里面有个线性回归的例子，使用的训练数据集是自己传入的。 我把数据值修改大了，比如[5061,245]，就会报“The kernel appears to have died. It will restart automatically.”错误。请问该如何解决呢？谢谢。 附上代码：

define training dataset reader def train_reader(): train_x = np.array([[1, 1], [1, 2], [3, 4], [5, 2]]) train_y = np.array([[-2], [-3], [-7], [-7]])

def reader(): for i in xrange(train_y.shape[0]): yield train_x[i], train_y[i]

return reader