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@@ -16,7 +16,7 @@ Along with these ML capabilities this first release of ML.NET also brings the fi
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ML.NET runs on Windows, Linux, and macOS - any platform where 64 bit [.NET Core](https://github.com/dotnet/core) or later is available.
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The current release is 0.1. Check out the [release notes](https://github.com/dotnet/machinelearning/blob/master/Documentation/release-notes/0.1/release-0.1.md).
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The current release is 0.1. Check out the [release notes](Documentation/release-notes/0.1/release-0.1.md).
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First ensure you have installed [.NET Core 2.0](https://www.microsoft.com/net/learn/get-started) or later. ML.NET also works on the .NET Framework. Note that ML.NET currently must run in a 64 bit process.
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## Examples
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Here's an example of code to train a model to predict sentiment from text samples. (You can see the complete sample [here](https://github.com/dotnet/machinelearning/blob/master/test/Microsoft.ML.Tests/Scenarios/Scenario3_SentimentPrediction.cs)):
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Here's an example of code to train a model to predict sentiment from text samples.
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(You can see the complete sample [here](test/Microsoft.ML.Tests/Scenarios/SentimentPredictionTests.cs)):
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