TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. ndtri() is used to find quantile of Standard Normal.
Syntax: tf.math.ndtri(x, name)
Parameter:
- x: It’s the input tensor. Allowed dtype for this tensor are float or double..
- name(optional): It defines the name for the operation.
Returns: It returns Inverse error function of x.
Example 1:
Python3
# Importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([.2, .5, .7, 1], dtype = tf.float64)# Printing the input tensorprint('Input: ', a)# Calculating resultres = tf.math.ndtri(x = a)# Printing the resultprint('Result: ', res) |
Output:
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)
Example 2:
Python3
# importing the libraryimport tensorflow as tf# Initializing the input tensora = tf.constant([-.1, -.2, -.5, .5, .2, .1], dtype = tf.float64)# Printing the input tensorprint('Input: ', a)# Calculating resultres = tf.math.ndtri(x = a)# Printing the resultprint('Result: ', res) |
Output:
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)
