Microsoft.ML
4.0.0-preview.24378.1
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.ML --version 4.0.0-preview.24378.1
NuGet\Install-Package Microsoft.ML -Version 4.0.0-preview.24378.1
<PackageReference Include="Microsoft.ML" Version="4.0.0-preview.24378.1" />
paket add Microsoft.ML --version 4.0.0-preview.24378.1
#r "nuget: Microsoft.ML, 4.0.0-preview.24378.1"
// Install Microsoft.ML as a Cake Addin #addin nuget:?package=Microsoft.ML&version=4.0.0-preview.24378.1&prerelease // Install Microsoft.ML as a Cake Tool #tool nuget:?package=Microsoft.ML&version=4.0.0-preview.24378.1&prerelease
About
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
For more information, see the ML.NET documentation.
Key Features
- Classification/Categorization - Automatically divide customer feedback into positive and negative categories
- Regression/Predict continuous values - Predict the price of houses based on size and location
- Anomaly Detection - Detect fraudulent banking transactions
- Recommendations - Suggest products that online shoppers may want to buy, based on their previous purchases
- Time series/sequential data - Forecast the weather/product sales
- Image classification - Categorize pathologies in medical images
- Text classification - Categorize documents based on their content.
- Sentence similarity - Measure how similar two sentences are.
How to Use
See Machine Learning Samples for an assortment of samples that show how to get started using ML.NET.
Main Types
Some of the types provided by this library are:
Microsoft.ML.MLContext
Microsoft.ML.ITransformer
Microsoft.ML.IEstimator<TTransformer>
Additional Documentation
Related Packages
- Core data abstraction: Microsoft.ML.DataView
- LightGBM Model Support: Microsoft.ML.LightGbm
- Fast Tree: Microsoft.ML.FastTree
- Image analytics: Microsoft.ML.ImageAnalytics
- Recommender: Microsoft.ML.Recommender
- Time series: Microsoft.ML.TimeSeries
- Automatic model selection / tuning: Microsoft.ML.AutoML
- Exporting Onnx Models: Microsoft.ML.OnnxConverter
- Loading Onnx models: Microsoft.ML.OnnxTransformer
- Text tokenizers: Microsoft.ML.Tokenizers
Feedback & Contributing
Microsoft.ML is released as open source under the MIT license. Bug reports and contributions are welcome at the GitHub repository.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. 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 was computed. 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. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.0
- Microsoft.ML.CpuMath (>= 4.0.0-preview.24378.1)
- Microsoft.ML.DataView (>= 4.0.0-preview.24378.1)
- Newtonsoft.Json (>= 13.0.3)
- System.CodeDom (>= 4.5.0)
- System.Collections.Immutable (>= 1.5.0)
- System.Memory (>= 4.5.5)
- System.Reflection.Emit.Lightweight (>= 4.3.0)
- System.Threading.Channels (>= 4.7.1)
NuGet packages (128)
Showing the top 5 NuGet packages that depend on Microsoft.ML:
Package | Downloads |
---|---|
Microsoft.ML.LightGbm
ML.NET component for LightGBM |
|
Microsoft.ML.FastTree
ML.NET component for FastTree |
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Microsoft.ML.ImageAnalytics
ML.NET component for Image support |
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Microsoft.ML.TensorFlow
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow. |
|
Microsoft.ML.TimeSeries
Microsoft.ML.TimeSeries contains ML.NET Time Series prediction algorithms. Uses Intel Mkl. |
GitHub repositories (38)
Showing the top 5 popular GitHub repositories that depend on Microsoft.ML:
Repository | Stars |
---|---|
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
|
|
dotnet/samples
Sample code referenced by the .NET documentation
|
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Danily07/Translumo
Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc.
|
|
dotnet/spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
|
|
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
|
Version | Downloads | Last updated |
---|---|---|
4.0.0 | 23,676 | 11/13/2024 |
4.0.0-preview.24522.7 | 1,709 | 10/23/2024 |
4.0.0-preview.24378.1 | 7,643 | 7/29/2024 |
4.0.0-preview.24271.1 | 10,291 | 5/21/2024 |
4.0.0-preview.24162.2 | 6,530 | 3/13/2024 |
3.0.1 | 842,609 | 1/18/2024 |
3.0.0 | 126,400 | 11/27/2023 |
3.0.0-preview.23511.1 | 3,514 | 10/13/2023 |
3.0.0-preview.23266.6 | 46,886 | 5/17/2023 |
3.0.0-preview.22621.2 | 9,014 | 12/22/2022 |
2.0.1 | 908,095 | 2/1/2023 |
2.0.1-preview.22573.9 | 3,383 | 11/24/2022 |
2.0.0 | 248,588 | 11/8/2022 |
2.0.0-preview.22551.1 | 1,235 | 11/1/2022 |
2.0.0-preview.22313.1 | 16,205 | 6/14/2022 |
2.0.0-preview.22310.1 | 406 | 6/11/2022 |
1.7.1 | 1,310,639 | 3/9/2022 |
1.7.0 | 540,399 | 11/9/2021 |
1.7.0-preview.final | 1,281 | 10/22/2021 |
1.6.0 | 756,965 | 7/15/2021 |
1.5.5 | 497,652 | 3/4/2021 |
1.5.4 | 131,037 | 12/17/2020 |
1.5.2 | 392,635 | 9/11/2020 |
1.5.1 | 98,409 | 7/11/2020 |
1.5.0 | 168,709 | 5/27/2020 |
1.5.0-preview2 | 70,632 | 3/12/2020 |
1.5.0-preview | 77,019 | 12/26/2019 |
1.4.0 | 551,591 | 11/5/2019 |
1.4.0-preview2 | 30,998 | 10/8/2019 |
1.4.0-preview | 72,170 | 8/30/2019 |
1.3.1 | 287,276 | 8/6/2019 |
1.2.0 | 82,573 | 7/3/2019 |
1.1.0 | 43,956 | 6/4/2019 |
1.0.0 | 173,324 | 5/2/2019 |
1.0.0-preview | 23,862 | 4/2/2019 |
0.11.0 | 41,420 | 3/5/2019 |
0.10.0 | 48,490 | 2/5/2019 |
0.9.0 | 53,472 | 1/8/2019 |
0.8.0 | 22,876 | 12/4/2018 |
0.7.0 | 35,691 | 11/6/2018 |
0.6.0 | 19,892 | 10/2/2018 |
0.5.0 | 10,242 | 9/5/2018 |
0.4.0 | 69,940 | 8/7/2018 |
0.3.0 | 38,007 | 7/3/2018 |
0.2.0 | 8,494 | 6/5/2018 |
0.1.0 | 25,840 | 5/7/2018 |