public void LoadModelFromFile() { string pathFull = System.IO.Path.Combine(Util.GetProjectDir2(), _fileModelIris); var xgbc = XGBoost.XGBClassifier.LoadClassifierFromFile(pathFull); /// /// Load testingvectors /// int noOfClasses = 3; string filenameTest = "Iris\\Iris.test.data"; iris.Iris[] recordsTest = IrisUtils.LoadIris(filenameTest); entity.XGVector <iris.Iris>[] vectorsTest = IrisUtils.ConvertFromIrisToFeatureVectors(recordsTest); entity.XGBArray arrTest = Util.ConvertToXGBArray(vectorsTest); var outcomeTest = xgbc.Predict(arrTest.Vectors); for (int index = 0; index < arrTest.Vectors.Length; index++) { string sExpected = IrisUtils.ConvertLabelFromNumericToString(arrTest.Labels[index]); float[] arrResults = new float[] { outcomeTest[index * noOfClasses + 0], outcomeTest[index * noOfClasses + 1], outcomeTest[index * noOfClasses + 2] }; float max = arrResults.Max(); int indexWithMaxValue = Util.GetIndexWithMaxValue(arrResults); string sActualClass = IrisUtils.ConvertLabelFromNumericToString((float)indexWithMaxValue); Trace.WriteLine($"{index} Expected={sExpected} Actual={sActualClass}"); Assert.AreEqual(sActualClass, sExpected); } }
public void BasicLoadData() { string filename = "Iris\\Iris.train.data"; iris.Iris[] records = IrisUtils.LoadIris(filename); entity.XGVector <iris.Iris>[] vectors = IrisUtils.ConvertFromIrisToFeatureVectors(records); Assert.IsTrue(records.Length >= 140); }