public void testing_saving_and_loading_saved_model()
{
// Save
Runtime.LoadFromFile <TitanicDataRow>(0, TestingHelpers.GetResourceFileName("titanic_train.csv")).
Classifiers.Trees.RandomForest.
NumExecutionSlots(4).
NumFeatures(5).
NumTrees(50).
FlushToFile("titanic_randor_forest.model");
// Load
IUntypedBaseClassifier <weka.classifiers.Classifier> classifier = BaseClassifier.Read("titanic_randor_forest.model");
TitanicDataRow row = new TitanicDataRow
{
age = 10,
pclass = "1",
sex = "male",
embarked = "C"
};
// Classify
double prediction = classifier.ClassifyInstance(Runtime.BuildInstance(0, row));
double proba = classifier.ClassifyInstanceProba(Runtime.BuildInstance(0, row));
Assert.AreEqual(0.0, prediction);
Assert.IsTrue(proba < 0.5);
}
[Test] public void test_making_single_predictions_from_trained_model()
{
var rt = Runtime.LoadFromFile <TitanicDataRow>(0, TestingHelpers.GetResourceFileName("titanic_train.csv"));
var classifier = rt.Classifiers.Trees.RandomForest.
NumExecutionSlots(4).
NumFeatures(5).
NumTrees(50);
var row = new TitanicDataRow {
age = 10,
pclass = "1",
sex = "male",
embarked = "C"
};
var prediction = classifier.ClassifyRow(row);
var proba = classifier.ClassifyRowProba(row);
Assert.AreEqual(0, prediction);
Assert.IsTrue(proba < 0.5);
}
