Skip to content

Updated pymc.Normal docstring #5487

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

Merged
merged 4 commits into from
Feb 19, 2022
Merged

Updated pymc.Normal docstring #5487

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
9521841
Updated pymc.Normal docstring
sagartomar Feb 18, 2022
03ee596
Made data type corrections in normal distribution docstrings
sagartomar Feb 19, 2022
fedd5c5
Used tensor_like in the normal distribution docstring
sagartomar Feb 19, 2022
29240c2
Addressed reviewer comments for tau dicstring in normal distribution
sagartomar Feb 19, 2022
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
14 changes: 10 additions & 4 deletions pymc/distributions/continuous.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -499,6 +499,7 @@ class Normal(Continuous):
\tau = \dfrac{1}{\sigma^2}

.. plot::
:context: close-figs

import matplotlib.pyplot as plt
import numpy as np
Expand All @@ -524,11 +525,12 @@ class Normal(Continuous):

Parameters
----------
mu: float
mu : tensor_like of float, default 0
Mean.
sigma: float
sigma : tensor_like of float, optional
Standard deviation (sigma > 0) (only required if tau is not specified).
tau: float
Defaults to 1 if neither sigma nor tau is specified.
tau : tensor_like of float, optional
Precision (tau > 0) (only required if sigma is not specified).

Examples
Expand Down Expand Up @@ -573,9 +575,13 @@ def logcdf(value, mu, sigma):

Parameters
----------
value: numeric or np.ndarray or `TensorVariable`
value : tensor_like of float
Value(s) for which log CDF is calculated. If the log CDF for multiple
values are desired the values must be provided in a numpy array or `TensorVariable`.
mu : tensor_like of float
Mean.
sigma : tensor_like of float
Standard deviation (sigma > 0).

Returns
-------
Expand Down