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+ML.NET is a modular set of libraries that enables building a pipeline from data loaders, trainers/estimators (in case of training), transformers (in case of inferencing), and various data structures to facilitate the building of pipelines and representing data.  The core of ML.NET – the Microsoft.ML package has no external dependencies. It's largely managed code.  
+
+Microsoft.ML does have a helper native math library CPUMath - which is only used on .NETFramework. .NET 6.0 and later have a managed implementation using intrinsics/TensorPrimitives and do not require the native build of CPUMath.
+
+Microsoft.ML contains one other native library, LDANative, which is used by the LatentDirichletAllocationEstimator/Transform to support the LightLDA algorithm.  If this component is used it will require the LightLDA native library.  The native library is built for linux-arm, linux-arm64, linux-x64, osx-arm64 (M1), osx-x64, win-arm64, win-x64, win-x86.  This library has only platform/CRT dependencies.
+
+Some components that represent an algorithm or binding to another framework are factored into separate packages to allow opt-in to using those and their dependencies.
+
+ML.NET redistributes Intel MKL as Microsoft.ML.MKL.Redist in which is a minimized MKL library linked with just exports needed by ML.NET.  This component follows the support matrix of Intel MKL and is only supported on x86 and x64 architectures: linux-x64, osx-x64 (no longer supported by Intel), win-x64, and win-x86.  Similarly some components have light-up to use an Intel OneDAL implementation which is only supported on x64.
+
+| NuGet Package                       | Entry-Point Components                                         | Native Dependencies                            | Status   | Notes                                                                                      |
+|-------------------------------------|----------------------------------------------------------------|------------------------------------------------|----------|--------------------------------------------------------------------------------------------|
+| `Microsoft.ML`                      | `MLContext`, core transforms, trainers                         | None                                           | Stable   |                                                                                            |
+| `Microsoft.Extensions.ML`           | `PredictionEnginePool`                                         | None                                           | Stable   |                                                                                            |
+| `Microsoft.ML.AutoML`               | `AutoCatalog` for AutoML                                       | *As required by other components*              | Preview  | Support varies based on components used                                                    |
+| `Microsoft.ML.CodeGenerator`        |                                                                | None                                           | Preview  | Part of AutoML                                                                             |
+| `Microsoft.ML.CpuMath`              |                                                                | Optional native                                | Stable   | Internal implementation; only used on .NET Framework                                       |
+| `Microsoft.ML.DataView`             | `IDataView`                                                    | None                                           | Stable   |                                                                                            |
+| `Microsoft.ML.DnnImageFeaturizer.*` |                                                                | None                                           | Preview  | Data-only                                                                                  |
+| `Microsoft.ML.Ensemble`             |                                                                | None                                           | Preview  | Supports ML.NET component catalog                                                          |
+| `Microsoft.ML.EntryPoints`          |                                                                | None                                           | Preview  | Supports ML.NET component catalog                                                          |
+| `Microsoft.ML.Experimental`         |                                                                | None                                           | Preview  | Experimental API                                                                           |
+| `Microsoft.ML.FairLearn`            | `FairlearnCatalog`                                             | None                                           | Preview  |                                                                                            |
+| `Microsoft.ML.FastTree`             | `FastTreeRankingTrainer`                                       | Optional native acceleration                   | Stable   | Native library used on x86/x64; managed fallback                                           |
+| `Microsoft.ML.ImageAnalytics`       | `MLImage` (image exchange type)                                | `libSkiaSharp`                                 | Stable   | Wrapper over SkiaSharp / Google Skia; supported where dependency is supported              |
+| `Microsoft.ML.LightGBM`             | `LightGbm\*Trainer`                                            | `LightGBM`                                     | Stable   | Wrapper over LightGBM; supported where dependency is supported                             |
+| `Microsoft.ML.MKL.Components`       | `SymbolicSgdLogisticRegressionBinaryTrainer`                   | Intel MKL                                      | Stable   | Only works where Intel MKL works                                                           |
+| `Microsoft.ML.MKL.Redist`           | Internal native Intel MKL                                      | `libomp`                                       | Stable   | Not for direct reference; win-x86/x64 only                                                 |
+| `Microsoft.ML.OneDal`               | Internal native Intel OneDal                                   | Intel OneDAL                                   | Preview  | Not for direct reference; x64 only                                                         |
+| `Microsoft.ML.OnnxConverter`        | Adds ONNX export support                                       | `Microsoft.ML.OnnxRuntime`                     | Stable   | Wrapper over ONNX Runtime; supports "bring your own" runtime                               |
+| `Microsoft.ML.OnnxTransformer`      | `OnnxCatalog`                                                  | `Microsoft.ML.OnnxRuntime`                     | Stable   | Wrapper over ONNX Runtime; supports "bring your own" runtime                               |
+| `Microsoft.ML.Parquet`              | `ParquetLoader`                                                | None                                           | Preview  | Uses managed Parquet.Net (port of Apache Parquet)                                          |
+| `Microsoft.ML.Recommender`          | `MatrixFactorizationTrainer`                                   | LIBMF (bundled)                                | Stable   | Includes libmf built for all runtimes supported by ML.NET                                  |
+| `Microsoft.ML.TensorFlow`           | `TensorFlowModel`, `Transformer`, `Estimator`                  | TensorFlow via `TensorFlow.NET`                | Stable   | Wrapper over TensorFlow; supports "bring your own" runtime                                 |
+| `Microsoft.ML.TimeSeries`           | `ForecastingCatalog`                                           | Intel MKL, `libomp`                            | Stable   | Only works where Intel MKL works                                                           |
+| `Microsoft.ML.TorchSharp`           | `QATrainer`, `TextClassificationTrainer`, `SentenceSimilarityTrainer` | libTorch via `TorchSharp`               | Preview  | Wrapper over libTorch; supported where TorchSharp is supported                             |
+| `Microsoft.ML.Vision`               | `ImageClassificationTrainer`                                   | TensorFlow                                     | Stable   | Depends on `Microsoft.ML.TensorFlow` for implementation                                    |
+
+
+Other packages:
+| NuGet Package                    | Entry-Point Components                           | Native Dependencies                           | Status     | Notes   |
+|----------------------------------|--------------------------------------------------|-----------------------------------------------|------------|---------|
+| `Microsoft.Data.Analysis`        | `DataFrame`                                      | `Apache.Arrow`                                | Preview    |         |
+| `Microsoft.ML.GenAI.*`           |                                                  |                                               | Preview    |         |
+| `Microsoft.ML.Tokenizers.*`      | `Tokenizer`                                      |                                               | Stable     |         |
+| `Microsoft.ML.SampleUtils`       |                                                  |                                               | Preview    |         |
+
+
+## Package Dependencies Diagram
+
+The following diagram shows the relationships between ML.NET packages and their external dependencies:
+
+```mermaid
+%%{init: {'theme':'base', 'themeVariables': {'fontSize':'18px'}, 'flowchart': {'useMaxWidth': false, 'htmlLabels': true, 'curve': 'linear'}, 'securityLevel': 'loose'}}%%
+graph TD
+    %% Core packages - arranged vertically at top
+    subgraph CorePackages["🔧 Core ML.NET Packages"]
+        direction TB
+        DataView["Microsoft.ML.DataView"]
+        Core["Microsoft.ML"]
+        Extensions["Microsoft.Extensions.ML"]
+        CpuMath["Microsoft.ML.CpuMath"]
+    end
+    
+    %% AutoML packages
+    subgraph AutoMLPackages["🤖 AutoML Packages"]
+        direction TB
+        AutoML["Microsoft.ML.AutoML"]
+        CodeGen["Microsoft.ML.CodeGenerator"]
+        Ensemble["Microsoft.ML.Ensemble"]
+        EntryPoints["Microsoft.ML.EntryPoints"]
+        FairLearn["Microsoft.ML.FairLearn"]
+    end
+    
+    %% Algorithm packages
+    subgraph AlgorithmPackages["⚙️ ML Algorithm Packages"]
+        direction TB
+        FastTree["Microsoft.ML.FastTree"]
+        LightGBM["Microsoft.ML.LightGBM"]
+        Recommender["Microsoft.ML.Recommender"]
+        TimeSeries["Microsoft.ML.TimeSeries"]
+        TorchSharp["Microsoft.ML.TorchSharp"]
+    end
+    
+    %% Image and vision packages
+    subgraph ImagePackages["🖼️ Image & Vision Packages"]
+        direction TB
+        ImageAnalytics["Microsoft.ML.ImageAnalytics"]
+        Vision["Microsoft.ML.Vision"]
+        DnnFeaturizerAlexNet["Microsoft.ML.DnnImageFeaturizer.AlexNet"]
+        DnnFeaturizerResNet18["Microsoft.ML.DnnImageFeaturizer.ResNet18"]
+        DnnFeaturizerResNet50["Microsoft.ML.DnnImageFeaturizer.ResNet50"]
+        DnnFeaturizerResNet101["Microsoft.ML.DnnImageFeaturizer.ResNet101"]
+        DnnFeaturizerModelRedist["Microsoft.ML.DnnImageFeaturizer.ModelRedist"]
+    end
+    
+    %% ONNX and TensorFlow packages
+    subgraph FrameworkPackages["🔗 Framework Integration Packages"]
+        direction TB
+        OnnxConverter["Microsoft.ML.OnnxConverter"]
+        OnnxTransformer["Microsoft.ML.OnnxTransformer"]
+        TensorFlow["Microsoft.ML.TensorFlow"]
+    end
+    
+    %% Intel MKL packages
+    subgraph IntelPackages["⚡ Intel MKL Packages"]
+        direction TB
+        MKLComponents["Microsoft.ML.MKL.Components"]
+        MKLRedist["Microsoft.ML.MKL.Redist"]
+        OneDal["Microsoft.ML.OneDal"]
+    end
+    
+    %% AI/GenAI packages
+    subgraph AIPackages["🧠 AI & GenAI Packages"]
+        direction TB
+        GenAICore["Microsoft.ML.GenAI.Core"]
+        GenAILLaMA["Microsoft.ML.GenAI.LLaMA"]
+        GenAIMistral["Microsoft.ML.GenAI.Mistral"]
+        GenAIPhi["Microsoft.ML.GenAI.Phi"]
+        AutoGenCore["AutoGen.Core"]
+        MSExtensionsAI["Microsoft.Extensions.AI.Abstractions"]
+        SemanticKernel["Microsoft.SemanticKernel.Abstractions"]
+    end
+    
+    %% Tokenizer packages
+    subgraph TokenizerPackages["📝 Tokenizer Packages"]
+        direction TB
+        Tokenizers["Microsoft.ML.Tokenizers"]
+        TokenizersGpt2["Microsoft.ML.Tokenizers.Data.Gpt2"]
+        TokenizersR50k["Microsoft.ML.Tokenizers.Data.R50kBase"]
+        TokenizersP50k["Microsoft.ML.Tokenizers.Data.P50kBase"]
+        TokenizersO200k["Microsoft.ML.Tokenizers.Data.O200kBase"]
+        TokenizersCl100k["Microsoft.ML.Tokenizers.Data.Cl100kBase"]
+    end
+    
+    %% Data packages
+    subgraph DataPackages["📊 Data Packages"]
+        direction TB
+        Parquet["Microsoft.ML.Parquet"]
+        DataAnalysis["Microsoft.Data.Analysis"]
+    end
+    
+    %% Other packages
+    subgraph OtherPackages["🔧 Other Packages"]
+        direction TB
+        Experimental["Microsoft.ML.Experimental"]
+        SampleUtils["Microsoft.ML.SampleUtils"]
+    end
+    
+    %% External dependencies - arranged vertically at bottom
+    subgraph ExternalDeps["🌐 External Dependencies"]
+        direction TB
+        SkiaSharp["SkiaSharp"]
+        LightGBMNative["LightGBM"]
+        OnnxRuntime["Microsoft.ML.OnnxRuntime"]
+        TensorFlowNET["TensorFlow.NET"]
+        TorchSharpLib["TorchSharp"]
+        ApacheArrow["Apache.Arrow"]
+        ParquetNet["Parquet.Net"]
+        GoogleProtobuf["Google.Protobuf"]
+    end
+    
+    %% Core dependencies
+    Core --> DataView
+    Core --> CpuMath
+    Extensions --> Core
+    
+    %% AutoML dependencies
+    AutoML --> Core
+    AutoML --> CpuMath
+    AutoML --> DnnFeaturizerAlexNet
+    AutoML --> DnnFeaturizerResNet18
+    AutoML --> DnnFeaturizerResNet50
+    AutoML --> DnnFeaturizerResNet101
+    AutoML --> OnnxTransformer
+    AutoML --> TimeSeries
+    AutoML --> TorchSharp
+    AutoML --> Vision
+    AutoML --> ImageAnalytics
+    AutoML --> LightGBM
+    AutoML --> MKLComponents
+    AutoML --> Recommender
+    CodeGen --> AutoML
+    
+    %% Algorithm dependencies
+    FastTree --> Core
+    LightGBM --> Core
+    LightGBM --> FastTree
+    LightGBM --> LightGBMNative
+    Recommender --> Core
+    TimeSeries --> Core
+    TimeSeries --> MKLRedist
+    TorchSharp --> Core
+    TorchSharp --> ImageAnalytics
+    TorchSharp --> Tokenizers
+    TorchSharp --> TorchSharpLib
+    
+    %% Image and vision dependencies
+    ImageAnalytics --> Core
+    ImageAnalytics --> SkiaSharp
+    Vision --> Core
+    Vision --> TensorFlow
+    
+    %% Framework dependencies
+    OnnxConverter --> Core
+    OnnxTransformer --> Core
+    OnnxTransformer --> OnnxRuntime
+    OnnxTransformer --> GoogleProtobuf
+    TensorFlow --> Core
+    TensorFlow --> ImageAnalytics
+    TensorFlow --> TensorFlowNET
+    
+    %% Intel MKL dependencies
+    MKLComponents --> Core
+    MKLComponents --> MKLRedist
+    MKLComponents --> OneDal
+    
+    %% Other package dependencies
+    Ensemble --> Core
+    EntryPoints --> Core
+    Experimental --> Core
+    FairLearn --> Core
+    FairLearn --> DataAnalysis
+    FairLearn --> AutoML
+    Parquet --> Core
+    Parquet --> ParquetNet
+    DataAnalysis --> ApacheArrow
+    
+    %% GenAI dependencies
+    GenAICore --> TorchSharpLib
+    GenAICore --> AutoGenCore
+    GenAICore --> MSExtensionsAI
+    GenAICore --> SemanticKernel
+    GenAILLaMA --> GenAICore
+    GenAILLaMA --> TorchSharpLib
+    GenAIMistral --> GenAICore
+    GenAIPhi --> GenAICore
+    
+    %% DNN Image Featurizer dependencies
+    DnnFeaturizerAlexNet --> OnnxTransformer
+    DnnFeaturizerAlexNet --> DnnFeaturizerModelRedist
+    DnnFeaturizerResNet18 --> OnnxTransformer
+    DnnFeaturizerResNet18 --> DnnFeaturizerModelRedist
+    DnnFeaturizerResNet50 --> OnnxTransformer
+    DnnFeaturizerResNet50 --> DnnFeaturizerModelRedist
+    DnnFeaturizerResNet101 --> OnnxTransformer
+    DnnFeaturizerResNet101 --> DnnFeaturizerModelRedist
+    
+    %% Tokenizer dependencies
+    Tokenizers --> GoogleProtobuf
+    TokenizersGpt2 --> Tokenizers
+    TokenizersR50k --> Tokenizers
+    TokenizersP50k --> Tokenizers
+    TokenizersO200k --> Tokenizers
+    TokenizersCl100k --> Tokenizers
+    
+    %% Styling for readability and larger text
+    classDef external fill:#ffebcd,stroke:#d2691e,stroke-width:4px,font-size:18px,font-weight:bold
+    classDef core fill:#e6f3ff,stroke:#0066cc,stroke-width:4px,font-size:18px,font-weight:bold
+    classDef algorithm fill:#f0f8e6,stroke:#228b22,stroke-width:4px,font-size:18px,font-weight:bold
+    classDef bundled fill:#ffefd5,stroke:#ff8c00,stroke-width:4px,font-size:18px,font-weight:bold
+    classDef subgraphStyle fill:#f9f9f9,stroke:#333,stroke-width:3px,font-size:20px,font-weight:bold
+    
+    class SkiaSharp,LightGBMNative,OnnxRuntime,TensorFlowNET,TorchSharpLib,ApacheArrow,ParquetNet,GoogleProtobuf,AutoGenCore,MSExtensionsAI,SemanticKernel external
+    class DataView,Core,Extensions core
+    class AutoML,CodeGen,FastTree,LightGBM,Recommender,TimeSeries,TorchSharp,ImageAnalytics,DnnFeaturizerAlexNet,DnnFeaturizerResNet18,DnnFeaturizerResNet50,DnnFeaturizerResNet101,DnnFeaturizerModelRedist,Vision,OnnxConverter,OnnxTransformer,TensorFlow,MKLComponents,Ensemble,EntryPoints,Experimental,FairLearn,Parquet,DataAnalysis,GenAICore,GenAILLaMA,GenAIMistral,GenAIPhi,Tokenizers,TokenizersGpt2,TokenizersR50k,TokenizersP50k,TokenizersO200k,TokenizersCl100k,SampleUtils algorithm
+    class CpuMath,MKLRedist,OneDal bundled
+```
+