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 Bonsai.ML.LinearDynamicalSystems 0.4.1

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dotnet add package Bonsai.ML.LinearDynamicalSystems --version 0.4.1
 
 
NuGet\Install-Package Bonsai.ML.LinearDynamicalSystems -Version 0.4.1
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="Bonsai.ML.LinearDynamicalSystems" Version="0.4.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Bonsai.ML.LinearDynamicalSystems" Version="0.4.1" />
 


 Directory.Packages.props
 

 

 
<PackageReference Include="Bonsai.ML.LinearDynamicalSystems" />
 


 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 Bonsai.ML.LinearDynamicalSystems --version 0.4.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: Bonsai.ML.LinearDynamicalSystems, 0.4.1"
#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 Bonsai.ML.LinearDynamicalSystems@0.4.1
#: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=Bonsai.ML.LinearDynamicalSystems&version=0.4.1
 


 Install as a Cake Addin
 

 

 
#tool nuget:?package=Bonsai.ML.LinearDynamicalSystems&version=0.4.1
 


 Install as a Cake Tool
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Bonsai - Machine Learning

The Bonsai.ML project is a collection of packages designed to integrate machine learning algorithms with Bonsai. This document provides an overview of the available packages and their functionalities.

Core Packages

  • Bonsai.ML Provides common tools and functionality.

  • Bonsai.ML.Design Provides common tools and functionality for visualizers and editor features.

  • Bonsai.ML.Data Provides common tools and functionality for working with data.

  • Bonsai.ML.Python Provides common tools and functionality for C# packages to interface with Python.

Available Packages

Bonsai.ML.LinearDynamicalSystems

Facilitates inference using linear dynamical systems (LDS). It interfaces with the lds_python package using the Bonsai - Python Scripting library.

  • Bonsai.ML.LinearDynamicalSystems.Kinematics Supports the use of the Kalman Filter for inferring kinematic data.

  • Bonsai.ML.LinearDynamicalSystems.LinearRegression Utilizes the Kalman Filter to perform online Bayesian linear regression.

Bonsai.ML.LinearDynamicalSystems.Design

Visualizers and editor features for the LinearDynamicalSystems package.

Bonsai.ML.HiddenMarkovModels

Facilitates inference using Hidden Markov Models (HMMs). It interfaces with the ssm package using the Bonsai - Python Scripting library.

  • Bonsai.ML.HiddenMarkovModels.Observations Provides functionality for specifying different types of observations.

  • Bonsai.ML.HiddenMarkovModels.Transitions Provides functionality for specifying different types of transition models.

Bonsai.ML.HiddenMarkovModels.Design

Visualizers and editor features for the HiddenMarkovModels package.

Bonsai.ML.PointProcessDecoder

Interfaces with the PointProcessDecoder package which can be used for decoding neural activity and other point processes.

Bonsai.ML.Torch

Interfaces with the TorchSharp package, a C# wrapper around the torch library. Provides tooling for manipulating tensors, performing linear algebra, training and inference with deep neural networks, and more.

Bonsai.ML packages can be installed through Bonsai's integrated package manager and are generally ready for immediate use. However, some packages may require additional installation steps. Refer to the specific package section for detailed installation guides and documentation.

Development Roadmap

The ultimate goal of the Bonsai.ML project is to bring powerful machine learning tools into Bonsai to enable intelligent experimental control. To achieve this, our plan is to incorporate several different packages, models, frameworks, and language integrations. You can follow our progress by going to the Bonsai ML development roadmap.

Feedback and Contributions

Bonsai.ML is an open-source project and we welcome contributions and feedback from the community. If you have any comments or questions, or require assistance, please feel free to open an issue on the GitHub repo. If you would like to contribute to the project, please see our Contributor Guide. By contributing to our project, we also expect you to uphold our community Code of Conduct.

Acknowledgments

Development of the Bonsai.ML package is supported by the Biotechnology and Biological Sciences Research Council [grant number BB/W019132/1].

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

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Bonsai.ML.LinearDynamicalSystems:

Package Downloads
Bonsai.ML.LinearDynamicalSystems.Design

A package for visualizing data from the Bonsai.ML.LinearDynamicalSystems package.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
0.4.1 415 6/23/2025
0.4.0 262 6/14/2025
0.3.1 294 10/10/2024
0.3.0 180 10/3/2024
0.2.0 209 7/5/2024
0.1.0 589 3/8/2024