bayesian
Here are 526 public repositories matching this topic...
-
Updated
Jun 23, 2020 - Python
var_context builder
Summary:
It'd be nice to have a builder pattern for var contexts to make them easy to construct for testing. Something that could be used like this:
MatrixXd m(3, 2);
...
var_context vc
= var_context::builder()
.matrix("a", m)
.real("f", 2.3)
.build();
Current Version:
v2.23.0
Ankit Shah and I are trying to use Gen to support a project and would love the addition of a dirichlet distribution
-
Updated
Aug 24, 2019 - Jupyter Notebook
-
Updated
Sep 8, 2020 - Jupyter Notebook
-
Updated
Jan 23, 2021 - Jupyter Notebook
-
Updated
Jan 13, 2021 - Jupyter Notebook
-
Updated
Jun 11, 2020 - Jupyter Notebook
-
Updated
Nov 24, 2020 - R
-
Updated
Dec 15, 2020 - Python
-
Updated
Jul 26, 2020 - Python
-
Updated
Sep 10, 2020 - Clojure
-
Updated
Jan 29, 2021 - R
Is your feature request related to a problem? Please describe.
While sales forecasting, it is necessary that the model is given the input about the promotions, special events that are taken care of in the prophet model as the holiday effect. Does orbit support this feature?
-
Updated
Jan 24, 2021 - R
-
Updated
Jan 4, 2021 - R
-
Updated
Jan 20, 2021 - R
-
Updated
Apr 3, 2020 - Python
-
Updated
Jan 31, 2021 - Python
-
Updated
Jan 31, 2021
-
Updated
Feb 4, 2020 - C++
-
Updated
Jan 23, 2021 - R
-
Updated
Dec 18, 2020 - R
-
Updated
Jan 15, 2021 - Julia
-
Updated
Sep 1, 2019 - Python
-
Updated
Nov 25, 2020 - R
-
Updated
Mar 22, 2019 - HTML
-
Updated
Dec 19, 2019 - Python
Improve this page
Add a description, image, and links to the bayesian topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the bayesian topic, visit your repo's landing page and select "manage topics."
As it stands, a significant portion of the SVI tutorial code is written in markdown code blocks, rather than standalone Jupyter cells. When formatted this way, the tutorial's notebook cannot be excecuted and experimented with by the reader. I suggest that the markdown code blocks should be refactored into Jupyter code ce