python–tensorlow.math.ndtri()

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TensorFlow 是谷歌为开发机器学习模型和深度学习神经网络而设计的开源 python 库。 ndtri() 用于寻找标准正态的分位数。

语法: tf.math.ndtri(x，name)

参数:

• x: 是输入张量。此张量允许的数据类型是浮点型或双精度型..
• 名称(可选):定义操作的名称。

返回: 返回 x 的逆误差函数

例 1:

蟒蛇 3

# Importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([.2, .5, .7, 1], dtype = tf.float64)

# Printing the input tensor
print('Input: ', a)

# Calculating result
res = tf.math.ndtri(x = a)

# Printing the result
print('Result: ', res)

输出:

Input:  tf.Tensor([0.2 0.5 0.7 1\. ], shape=(4, ), dtype=float64)
Result:  tf.Tensor([-0.84162123  0\.          0.52440051         inf], shape=(4, ), dtype=float64)

例 2:

蟒蛇 3

# importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([-.1, -.2, -.5, .5, .2, .1], dtype = tf.float64)

# Printing the input tensor
print('Input: ', a)

# Calculating result
res = tf.math.ndtri(x = a)

# Printing the result
print('Result: ', res)

输出:

Input:  tf.Tensor([-0.1 -0.2 -0.5  0.5  0.2  0.1], shape=(6, ), dtype=float64)
Result:  tf.Tensor([       -inf        -inf        -inf  0\.         -0.84162123 -1.28155157], shape=(6, ), dtype=float64)

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