LostTech.TensorFlow.Probability 0.13.0-a0

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
This is a prerelease version of LostTech.TensorFlow.Probability.
The owner has unlisted this package. This could mean that the package is deprecated, has security vulnerabilities or shouldn't be used anymore. 
dotnet add package LostTech.TensorFlow.Probability --version 0.13.0-a0
                    


                    

                
NuGet\Install-Package LostTech.TensorFlow.Probability -Version 0.13.0-a0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="LostTech.TensorFlow.Probability" Version="0.13.0-a0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="LostTech.TensorFlow.Probability" Version="0.13.0-a0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="LostTech.TensorFlow.Probability" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add LostTech.TensorFlow.Probability --version 0.13.0-a0
                    


                    

                
#r "nuget: LostTech.TensorFlow.Probability, 0.13.0-a0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#:package LostTech.TensorFlow.Probability@0.13.0-a0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=LostTech.TensorFlow.Probability&version=0.13.0-a0&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=LostTech.TensorFlow.Probability&version=0.13.0-a0&prerelease
                    


                            Install as a Cake Tool

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.

TensorFlow Probability is built on top of TensorFlow.

Basic building blocks are:
- Distributions: A large collection of probability distributions and related statistics with batch and broadcasting semantics.
- Bijectors: Reversible and composable transformations of random variables. Bijectors provide a rich class of transformed distributions, from classical examples like the log-normal distribution to sophisticated deep learning models such as masked autoregressive flows.

For higher-level module building:
- Joint Distributions (e.g., distributions.JointDistributionSequential): Joint distributions over one or more possibly-interdependent distributions.
- Probabilistic Layers (layers namespace): Neural network layers with uncertainty over the functions they represent, extending TensorFlow layers

Probabilistic Inference:
- Markov chain Monte Carlo (mcmc namespace): Algorithms for approximating integrals via sampling. Includes Hamiltonian Monte Carlo, random-walk Metropolis-Hastings, and the ability to build custom transition kernels.
- Variational Inference (vi namespace): Algorithms for approximating integrals via optimization.
- Optimizers (optimizer namespace): Stochastic optimization methods, extending TensorFlow optimizers. Includes Stochastic Gradient Langevin Dynamics.
- Monte Carlo (monte_carlo namespace): Tools for computing Monte Carlo expectations.

TensorFlow Probability is under active development. Interfaces may change at any time.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
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