Python – tensorflow.math.igammac()
TensorFlow 是由 Google 设计的开源Python库,用于开发机器学习模型和深度学习神经网络。
igammac()用于计算上正则化不完全 Gamma函数Q(a, x)。 Q(a, x) 定义为:
其中 gamma(a, x) 是下不完全 Gamma函数,定义为:
Syntax: tensorflow.math.igammac( x, y, name)
Parameters:
- x: It is a tensor. Allowed dtypes are float32, float64.
- y: It is a tensor of same dtype as x.
- name(optional): It defines the name of the operation
Returns: It returns a tensor of dtype as x.
示例 1:
Python3
# importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([7, 8, 13, 11], dtype = tf.float64)
b = tf.constant([2, 8, 14, 5], dtype = tf.float64)
# Printing the input tensor
print('a: ', a)
print('b: ', b)
# Calculating the result
res = tf.math.igammac(a, b)
# Printing the result
print('Result: ', res)
Python3
# Importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([2, 8, 14, 5], dtype = tf.float32)
b = tf.constant([7, 8, 13, 11], dtype = tf.float32)
# Printing the input tensor
print('a: ', a)
print('b: ', b)
# Calculating the result
res = tf.math.igammac(a, b)
# Printing the result
print('Result: ', res)
输出:
a: tf.Tensor([ 7. 8. 13. 11.], shape=(4, ), dtype=float64)
b: tf.Tensor([ 2. 8. 14. 5.], shape=(4, ), dtype=float64)
Result: tf.Tensor([0.99546619 0.45296081 0.35845842 0.98630473], shape=(4, ), dtype=float64)
示例 2:
Python3
# Importing the library
import tensorflow as tf
# Initializing the input tensor
a = tf.constant([2, 8, 14, 5], dtype = tf.float32)
b = tf.constant([7, 8, 13, 11], dtype = tf.float32)
# Printing the input tensor
print('a: ', a)
print('b: ', b)
# Calculating the result
res = tf.math.igammac(a, b)
# Printing the result
print('Result: ', res)
输出:
a: tf.Tensor([ 2. 8. 14. 5.], shape=(4, ), dtype=float32)
b: tf.Tensor([ 7. 8. 13. 11.], shape=(4, ), dtype=float32)
Result: tf.Tensor([0.00729505 0.45296064 0.57304585 0.0151046 ], shape=(4, ), dtype=float32)