ReadyDOS.ML.Shared 1.0.0

There is a newer version of this package available.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

dotnet add package ReadyDOS.ML.Shared --version 1.0.0

NuGet\Install-Package ReadyDOS.ML.Shared -Version 1.0.0

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="ReadyDOS.ML.Shared" Version="1.0.0" />

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

<PackageVersion Include="ReadyDOS.ML.Shared" Version="1.0.0" />
                    

                            Directory.Packages.props

<PackageReference Include="ReadyDOS.ML.Shared" />
                    

                            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 ReadyDOS.ML.Shared --version 1.0.0

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

#r "nuget: ReadyDOS.ML.Shared, 1.0.0"

#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 ReadyDOS.ML.Shared@1.0.0

#: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=ReadyDOS.ML.Shared&version=1.0.0
                    

                            Install as a Cake Addin

#tool nuget:?package=ReadyDOS.ML.Shared&version=1.0.0
                    

                            Install as a Cake Tool

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

DOS — Workflow Abstractions

A lightweight, open-source workflow contract layer built in C# on top of ML.NET principles. This package provides interfaces and data records only — no internal training recipes or infrastructure — making it safe to share while still giving developers powerful building blocks to orchestrate their own machine learning pipelines.

Getting Started

I personally use IWorkflow in my own projects and real production-style prototypes, and I plan to adapt it soon for high-quality segmentation visualizations.

End-to-end ML workflow orchestration (data readiness → training → evaluation → persistence)
Structured metadata for dataset lineage and splits (DataObjectInfo, DataSplitInfo)
Consistent UTC timestamps for distributed and serverless systems
Algorithm identity mapping for business-friendly reporting
Clean log transport that integrates with any ILogger via IProgress

What the Shared Library Provides

🧠 Compose end-to-end ML workflows
(Data preparation → Training → Evaluation → Model Selection → Persistence)
📦 Generic workflow signatures that can cluster or train any dataset
🧬 Dataset lineage tracking via metadata records:
DataObjectInfo → dataset source + last modified time
DataSplitInfo → train/eval dataset handles + row counts + origin key
🕒 Consistent UTC timestamps for distributed and serverless systems
🧾 Public-safe log transport, designed to integrate with any ILogger using:
📊 Business-aligned KPI language in workflow results for revenue impact
🧩 Algorithm identity mapping without exposing internal ML pipelines
🚀 Scalable orchestration, ready for APIs, background workers, or dashboards

Currently Supported Algorithms	Display Name	Examples
Matrix Factorization	Product Recommendations, Basket Expansion	Increase Average Order Value (AOV) and purchase frequency. Recommendations to increase basket size
L-BFGS Optimization	Retention	High-performance linear churn or propensity classification. Automate discounts in batches for customers at risk of churning, asn an example.
KMeans++ Clustering	Customer Segmentation	Beheavioural insights into your customers/users.
LightGBM	Forecasting	Sales, inventory demand/trends, revenue forecasting.

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.Extensions.Logging (>= 10.0.1)
- Microsoft.ML (>= 5.0.0)

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.