PlainML.Infrastructure 0.1.192

dotnet add package PlainML.Infrastructure --version 0.1.192
NuGet\Install-Package PlainML.Infrastructure -Version 0.1.192
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="PlainML.Infrastructure" Version="0.1.192" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add PlainML.Infrastructure --version 0.1.192
#r "nuget: PlainML.Infrastructure, 0.1.192"
#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.
// Install PlainML.Infrastructure as a Cake Addin
#addin nuget:?package=PlainML.Infrastructure&version=0.1.192

// Install PlainML.Infrastructure as a Cake Tool
#tool nuget:?package=PlainML.Infrastructure&version=0.1.192

PlainML

This library should simplify the tracking process of Machine-Learning (ML) training tasks. When you train a ML-model you can save parameters and metrics of the training attempts (named as "runs"). Also you can store artifacts and deploy it to a deploymenttarget like "dev" or "prod". On this way you can access them on an client application the deployed model.

build

Features

  • Experimenttracking (Runs with parameters, metrics and artifacts)
  • Integration of trainingprocesses
  • Deployment to different targets (dev, production)
  • Manage artifacts (deployment, caching)
  • Visualization

Getting Started

  1. Install VSCode
  2. Install C# extensions for VSCode
  3. Create project
    mkdir PlainMLExample
    cd PlainMLExample
    dotnet new console
    
  4. Install nuget package to project
    dotnet add package PlainML
    dotnet add package PlainML.Infrastructure
    
  5. Add usings on the top of program.cs-File
    using Microsoft.Extensions.DependencyInjection;
    using PlainML;
    using PlainML.Entities;
    using PlainML.Infrastructure;
    
  6. Use dependency injection to configure services
    var _provider = new ServiceCollection()
        .UsePlainMLSqLite()  // other providers like SQL-Server are avaiable
        .UseArtifactStorageFilesystem() // other providers like SQL-Server are avaiable
        .AddTransient<PlainMLService>()
        .BuildServiceProvider();
    
  7. Apply migration when init the database the first time or a new major version is avaiable
    var s = new PlainMLService(dbContextFactory, artifactStorage);
    await s.Migrate();
    
  8. Use code
    const string experimentName = "TestExperiment";
    const string artifactsPath = "./Artifacts";
    
    // Create database
    PlainMLService s = _provider.GetRequiredService<PlainMLService>();
    await s.Migrate();
    
    // Train model
    int rundId = await s.StartRun(experimentName);
    float metricValue = await TrainModel(artifactsPath);
    await s.EndRun(
        rundId,
        parameters: new[] { new Parameter(){ Name = "Parameter1", Value = 1.123f } },
        parameters_StringType: new[] { new Parameter_StringType(){ Name = "Trainers", Value = "LightGbm, OneVersusAllTrainer" } },
        metrics: new[] { new Metric(){ Name = "MicroAccuracy", Value = metricValue } },
        artifactsPath);
    
    // Deploy model
    await s.DeployRun(rundId);
    
    // Use model
    var deployedRun = await s.GetDeployedRun(experimentName) ?? throw new NullReferenceException();
    await s.DownloadArtifacts(deployedRun.Id, "./DownloadedArtifacts");
    
    Console.WriteLine("Artifacts of run in ./DownloadedArtifacts:");
    foreach (var item in Directory.EnumerateFiles("./DownloadedArtifacts"))
    {
        Console.WriteLine(item);
    }
    
    async static Task<float> TrainModel(string artifactsPath)
    {
        Console.WriteLine("Training...");
        await Task.Delay(100);
    
        if (Directory.Exists(artifactsPath))
        {
            Console.WriteLine("Directory exists. Delete it!");
            Directory.Delete(artifactsPath, true);
        }
    
        Directory.CreateDirectory(artifactsPath);
        await File.WriteAllTextAsync(Path.Combine(artifactsPath, "TestFile.bin"), "0011010101001");
    
        return 0.1f;
    }
    

Examples

NuGet Packages

Roadmap

  • Develop unstable version 0.1.*
  • Create initial stable version 1.0.0
  • ML.Net integration
  • Create docs
  • Rest-interface
  • Web-interface for visualization and Manage Experiments (run-table, graphs,...)
Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  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 is compatible.  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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

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