NEXCODE.Caffeine.AI 2.1.2

Prefix Reserved

dotnet add package NEXCODE.Caffeine.AI --version 2.1.2

NuGet\Install-Package NEXCODE.Caffeine.AI -Version 2.1.2

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="NEXCODE.Caffeine.AI" Version="2.1.2" />

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

<PackageVersion Include="NEXCODE.Caffeine.AI" Version="2.1.2" />
                    

                            Directory.Packages.props

<PackageReference Include="NEXCODE.Caffeine.AI" />
                    

                            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 NEXCODE.Caffeine.AI --version 2.1.2

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

#r "nuget: NEXCODE.Caffeine.AI, 2.1.2"

#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 NEXCODE.Caffeine.AI@2.1.2

#: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=NEXCODE.Caffeine.AI&version=2.1.2
                    

                            Install as a Cake Addin

#tool nuget:?package=NEXCODE.Caffeine.AI&version=2.1.2
                    

                            Install as a Cake Tool

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

Caffeine.AI

AI/ML Module for Caffeine IIoT Platform — ONNX Runtime Inference, ML.NET TimeSeries Anomaly Detection.

Installation

dotnet add package Caffeine.AI

Key Features

ONNX Runtime inference engine for edge AI model execution
ML.NET TimeSeries anomaly detection (SR-CNN, IID Spike Detection)
Remaining Useful Life (RUL) prediction for predictive maintenance
Failure prediction with sliding window feature extraction
Zero-allocation data pipeline for high-frequency sensor streams

Quick Start

using Caffeine.AI;
using Microsoft.Extensions.DependencyInjection;

// DI 등록
services.AddCaffeineAI(options =>
{
    options.ModelPath = "models/anomaly-detector.onnx";
    options.WindowSize = 60;
});

// 이상 감지 사용
public class SensorMonitor(IAnomalyDetectionService detector)
{
    public async Task<AnomalyResult> CheckAsync(float[] sensorData)
        => await detector.DetectAsync(sensorData);
}

Compatibility

.NET: 10.0+
ONNX Runtime: 1.23.2+
ML.NET TimeSeries: 5.0.0+

License

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
- Microsoft.ML.OnnxRuntime (>= 1.24.3)
- Microsoft.ML.TimeSeries (>= 5.0.0)
- NEXCODE.Caffeine.Core (>= 2.1.2)

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version	Downloads	Last Updated
2.1.2	32	3/10/2026
2.1.1	32	3/10/2026
2.1.0	38	3/7/2026
2.0.9	37	3/6/2026