public void Tennis_Naive_Bayes_Save_And_Load_Test()
{
var data = Tennis.GetData();
var description = Descriptor.Create<Tennis>();
var generator = new NaiveBayesGenerator(2);
var model = generator.Generate(description, data);
Serialize(model);
var lmodel = Deserialize<NaiveBayesModel>();
}
public void Iris_Naive_Bayes_Save_And_Load_Test()
{
var data = Iris.Load();
var description = Descriptor.Create<Iris>();
var generator = new NaiveBayesGenerator(2);
var model = generator.Generate(description, data) as NaiveBayesModel;
Serialize(model);
var lmodel = Deserialize<NaiveBayesModel>();
Assert.Equal(model.Root, lmodel.Root);
}
public void Main_Naive_Bayes_Test()
{
var data = Tennis.GetData();
var description = Descriptor.Create<Tennis>();
var generator = new NaiveBayesGenerator(2);
var model = generator.Generate(description, data);
Tennis t = new Tennis
{
Humidity = Humidity.Normal,
Outlook = Outlook.Overcast,
Temperature = Temperature.Cool,
Windy = true
};
model.Predict<Tennis>(t);
Assert.IsTrue(t.Play);
}
public void Iris_DT_and_Prediction()
{
var data = Iris.Load();
var description = Descriptor.Create<Iris>();
var generator = new NaiveBayesGenerator(2);
var model = generator.Generate(description, data);
// should be Iris-Setosa
Iris iris = new Iris
{
SepalLength = 2.1m,
SepalWidth = 2.2m,
PetalWidth = 0.5m,
PetalLength = 2.3m,
};
iris = model.Predict<Iris>(iris);
Assert.AreEqual("Iris-setosa".Sanitize(), iris.Class);
}
