在Matlab中,我可以通过使用函数来计算高斯分布的概率密度函数(PDF):
使用 TensorFlow,我尝试了以下代码:
x = [0.8147,0.9058,0.1270,0.9134,0.6324,0.0975,0.2785,0.5469,0.9575,0.9649]
y = normpdf(x,1.0,2.5)
输出:
y = 0.1591 0.1595 0.1501 0.1595 0.1579 0.1495 0.1531 0.1570 0.1596 0.1596
使用 TensorFlow,我尝试了以下代码:
x = tf.variable([0.8147,0.9058,0.1270,0.9134,0.6324,0.0975,0.2785,0.5469,0.9575,0.9649],tf.float32)
y = tf.contrib.distributions.NormalWithSoftplusSigma.pdf(x)
我遇到了一个错误:TypeError: pdf missing 1 required positional argument
如何输入mu和sigma值来获得类似的输出结果?