Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add usage example for tf.math.polyval #1

Open
wants to merge 7 commits into
base: master
Choose a base branch
from
Open

Add usage example for tf.math.polyval #1

Changes from all commits
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
e15d6a5
Add usage example for tf.math.polyval
areebg9 Jan 1, 2020
2321f85
Fix usage example for tf.math.polyval
areebg9 Jan 1, 2020
8a29f1d
Fixing "line too long error"
areebg9 Jan 2, 2020
642072f
Update math_ops.py
areebg9 Jan 5, 2020
2985896
Make requested changes
areebg9 Jan 8, 2020
667d516
Addresses changes
areebg9 Jan 10, 2020
ee6e9b3
Update math_ops.py
areebg9 Jan 16, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 17 additions & 0 deletions tensorflow/python/ops/math_ops.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4229,6 +4229,23 @@ def polyval(coeffs, x, name=None):
p(x) = coeffs[n-1] + x * (coeffs[n-2] + ... + x * (coeffs[1] +
x * coeffs[0]))

Usage Example:

>>> tf.math.polyval([2, 1, 0], 3) # evaluates 2 * (3**2) + 1 * (3**1) + 0 * (3**0)
<tf.Tensor: shape=(), dtype=int32, numpy=21>

`tf.math.polyval` can also be used in polynomial regression. Taking
advantage of this function can facilitate writing a polynomial equation
as compared to explicitly writing it out, especially for higher degree
polynomials.

>>> x = tf.constant(3)
>>> theta1 = tf.Variable(2)
>>> theta2 = tf.Variable(1)
>>> theta3 = tf.Variable(0)
>>> tf.math.polyval([theta1, theta2, theta3], x)
<tf.Tensor: shape=(), dtype=int32, numpy=21>

Args:
coeffs: A list of `Tensor` representing the coefficients of the polynomial.
x: A `Tensor` representing the variable of the polynomial.
Expand Down