var data = new List{ 2, 5, 8, 1, 9, 10 }; var result = data.Where(d => d > 5).OrderByDescending(d => d).ToList(); // result = { 10, 9, 8 }
var data = new ListThe ML.NET library is an open-source project developed by Microsoft and can be installed as a NuGet package in a C# project. In summary, research and development is an important aspect of software engineering, and there are many libraries and frameworks available in C# to support various research and development activities, such as data analysis, machine learning, and more.{ new SentimentData { Text = "This is great!" }, new SentimentData { Text = "I hate it" }, new SentimentData { Text = "It's okay" } }; var mlContext = new MLContext(); var dataView = mlContext.Data.LoadFromEnumerable(data); var pipeline = mlContext.Transforms.Text.FeaturizeText("Features", nameof(SentimentData.Text)) .Append(mlContext.BinaryClassification.Trainers.SdcaLogisticRegression()); var model = pipeline.Fit(dataView); var predictionEngine = mlContext.Model.CreatePredictionEngine (model); var prediction = predictionEngine.Predict(new SentimentData { Text = "I love it!" }); // prediction.Prediction = true (positive sentiment)