Novolis.MachineLearning.Neural.Abstractions 2026.1.1.39

There is a newer version of this package available.
See the version list below for details.

dotnet add package Novolis.MachineLearning.Neural.Abstractions --version 2026.1.1.39

NuGet\Install-Package Novolis.MachineLearning.Neural.Abstractions -Version 2026.1.1.39

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="Novolis.MachineLearning.Neural.Abstractions" Version="2026.1.1.39" />

For projects that support PackageReference, copy this XML node into the project file to reference the package.

<PackageVersion Include="Novolis.MachineLearning.Neural.Abstractions" Version="2026.1.1.39" />
                    

                            Directory.Packages.props

<PackageReference Include="Novolis.MachineLearning.Neural.Abstractions" />
                    

                            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 Novolis.MachineLearning.Neural.Abstractions --version 2026.1.1.39

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

#r "nuget: Novolis.MachineLearning.Neural.Abstractions, 2026.1.1.39"

#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 Novolis.MachineLearning.Neural.Abstractions@2026.1.1.39

#: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=Novolis.MachineLearning.Neural.Abstractions&version=2026.1.1.39
                    

                            Install as a Cake Addin

#tool nuget:?package=Novolis.MachineLearning.Neural.Abstractions&version=2026.1.1.39
                    

                            Install as a Cake Tool

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Novolis · Docs · Source

Novolis.MachineLearning.Neural.Abstractions

Contracts for neural networks, evaluation, and snapshot persistence.

Install

dotnet add package Novolis.MachineLearning.Neural.Abstractions

Prerequisites: .NET 10 SDK (net10.0).

Quick start

using Novolis.MachineLearning.Neural;
using Novolis.MachineLearning.Neural.Persistence;

INeuralNetwork network = /* DenseNetwork or test double */;
ReadOnlyMemory<double> output = network.Forward(inputSpan);
NetworkEvaluation eval = network.Evaluate(inputSpan);

// Persistence contracts: INeuralNetworkRepository, NetworkSnapshot

Reference this package for mocks; use Novolis.MachineLearning.Neural for the default implementation.

Package	When to use
`Novolis.MachineLearning.Neural`	`DenseNetwork` training and file repository
`Novolis.MachineLearning.Core`	Data directory layout

Support

Pre-release (2026.1.* on GitHub Packages).

Product	Compatible and additional computed target framework versions.
.NET	net10.0 is compatible. 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.

Compatible target framework(s)

Included target framework(s) (in package)

Learn more about Target Frameworks and .NET Standard.

net10.0
- No dependencies.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on Novolis.MachineLearning.Neural.Abstractions:

Package	Downloads
Novolis.MachineLearning.Dump Persist neural snapshots as CodeGen dump C# fixtures and ML.NET models as zip files.	78
Novolis.MachineLearning.Neural Dense feedforward neural network implementation with training, mutation, and JSON persistence.	75

GitHub repositories

This package is not used by any popular GitHub repositories.

Version	Downloads	Last Updated
2026.1.1.41	0	10/3/2026
2026.1.1.39	40	10/1/2026
2026.1.1.38	41	9/30/2026