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Infer.NET is a framework for running Bayesian inference in graphical models
Do you have or know any example related to Bayesian Neural Network (small, shallow cases) using Infer.net?
Remove BinaryFormatter for compliance reasons. Increment version because this is a significant change.
Is there a possibility in INFER to update the model, for example here I determined the weights, means and posteriors from the data in mixed gaussian model. ``` // Define...
Hi, I would like to know if it's possible to model a Gamma process (i.e., a sequence of Gamma distributions) in Infer.NET similar to the Kalman Filter for the Gaussian...
I am trying to model the tail of a Gumbel, i.e. a Generalized Pareto. I understand that the philosophy of Infer.NET is to provide basic distributions and let the user...
Hi, how can I run examples of infer.NET in visual studio code ? Could you please give a tutorial about it ?
Is it possible to distribute pre-built binaries for FSharp from Nuget.org (Microsoft.ML.Probabilistic.FSharp.dll)?
Hi everybody, I am trying to use Infer.NET in Python by copying your example file test_tutorials.py, which leverages pythonnet. However, I get the following error: SystemPlatformNotSupportedException: Operation is not supported...
On 17th March 2019 we're going to rename the default branch in this repository to main. For more details, see [our earlier announcement](https://github.com/dotnet/announcements/issues/172).