Random Forest in .Net Core

Install-Package SharpLearning.RandomForest

var fs = new FileStream(@"C:\RandomForestLearner\data.csv", FileMode.Open, FileAccess.Read, FileShare.ReadWrite | FileShare.Delete);

string content;
using (StreamReader reader = new StreamReader(fs, Encoding.UTF8))
{
  content = reader.ReadToEnd();
}

var parser = new CsvParser(() => new StringReader(content));
var targetName = "label";

var observations = parser.EnumerateRows(c => c != targetName).ToF64Matrix();
var targets = parser.EnumerateRows(targetName).ToF64Vector();



var learner = new ClassificationRandomForestLearner(trees: 100);

var model = learner.Learn(observations, targets);

var testFs = new FileStream(@"C:\RandomForestLearner\result.csv", FileMode.Open, FileAccess.Read, FileShare.ReadWrite | FileShare.Delete);

string testContent;
using (StreamReader testReader = new StreamReader(testFs, Encoding.UTF8))
{
  testContent = testReader.ReadToEnd();
}

var testParser = new CsvParser(() => new StringReader(testContent));
var testObserve = testParser.EnumerateRows(c => c != targetName).ToF64Matrix();

var predictions = model.Predict(testObserve);


model.Save(() => new StreamWriter("randomforest.xml"));