Page 59 - MSDN Magazine, November 2018

The Evaluate method returns an object containing several metrics, including log loss, precision, recall, F1 score and so on. The return object also has a neat ConfusionMatrix object that can be used to display counts such as the number of patients who were predicted to survive but in fact died.
Using the Trained Model
The demo program shows how to use the trained model to make a prediction:
Console.WriteLine("Predict 50-year male kidney = 4.80:"); KidneyData newPatient = new KidneyData()
{ Age = 50f, Sex = -1f, Kidney = 4.80f }; KidneyPrediction prediction = model.Predict(newPatient); string result = prediction.PredictedLabels; Console.WriteLine("Prediction = " + result);
In most ML scenarios you’d have two data files—one set used just for training and a second test dataset used only for model evaluation.
Notice that the numeric literals for age, sex and kidney score use the “f ” modifier because the model is expecting type float values. In this example, the trained model was available because the program just finished training. If you wanted to make a prediction from a dif- ferent program, you’d load the trained model using the ReadAsync method along the lines of:
PredictionModel<KidneyData, KidneyPrediction> model = null;
Task.Run(async () => {
model2 = await PredictionModel.ReadAsync
<KidneyData, KidneyPrediction>(ModelPath); }).GetAwaiter().GetResult();
Wrapping Up
Even though the ML.NET library is new, its origins go back many years. Shortly after the introduction of the Microsoft .NET Framework in 2002, Microsoft Research began a project called “text mining search and navigation”, or TMSN, to enable software developers to include ML code in Microsoft products and technologies. The project was very successful, and over the years grew in size and usage internally at Microsoft. Somewhere around 2011 the library was renamed to “the learning code” (TLC). TLC is widely used within Microsoft and is currently in version 3.9. The ML.NET library is a direct offshoot of TLC, with Microsoft-specific features removed. n
Dr. James mccaffrey works for Microsoft Research in Redmond, Wash. He has worked on several Microsoft products, including Internet Explorer and Bing. Dr. McCaffrey can be reached at jamccaff@microsoft.com.
Thanks to the following Microsoft technical experts who reviewed this article: Chris Lee and Ricky Loynd
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