public static Tennis[] GetData()
{
return(new Tennis[]
{
Tennis.Make(Outlook.Sunny, Temperature.Hot, Humidity.High, false, false),
Tennis.Make(Outlook.Sunny, Temperature.Hot, Humidity.High, true, false),
Tennis.Make(Outlook.Overcast, Temperature.Hot, Humidity.High, false, true),
Tennis.Make(Outlook.Rainy, Temperature.Mild, Humidity.High, false, true),
Tennis.Make(Outlook.Rainy, Temperature.Cool, Humidity.Normal, false, true),
Tennis.Make(Outlook.Rainy, Temperature.Cool, Humidity.Normal, true, false),
Tennis.Make(Outlook.Overcast, Temperature.Cool, Humidity.Normal, true, true),
Tennis.Make(Outlook.Sunny, Temperature.Mild, Humidity.High, false, false),
Tennis.Make(Outlook.Sunny, Temperature.Cool, Humidity.Normal, false, true),
Tennis.Make(Outlook.Rainy, Temperature.Mild, Humidity.Normal, false, true),
Tennis.Make(Outlook.Sunny, Temperature.Mild, Humidity.Normal, true, true),
Tennis.Make(Outlook.Overcast, Temperature.Mild, Humidity.High, true, true),
Tennis.Make(Outlook.Overcast, Temperature.Hot, Humidity.Normal, false, true),
Tennis.Make(Outlook.Rainy, Temperature.Mild, Humidity.High, true, false)
});
}
public void Save_Node_Test()
{
Tennis t = new Tennis
{
Humidity = Humidity.Normal,
Outlook = Outlook.Overcast,
Temperature = Temperature.Cool,
Windy = true
};
var model = (NeuralNetworkModel)BaseSupervised.Prediction<Tennis>(
new NeuralNetworkGenerator(),
Tennis.GetData(),
t,
p => p.Play
);
var node = model.Network.In[0].Out[0].Target;
Serialize(node);
}
public void Save_Model_Test()
{
Tennis t = new Tennis
{
Humidity = Humidity.Normal,
Outlook = Outlook.Overcast,
Temperature = Temperature.Cool,
Windy = true
};
var model = (NeuralNetworkModel)BaseSupervised.Prediction<Tennis>(
new NeuralNetworkGenerator(),
Tennis.GetData(),
t,
p => p.Play
);
Serialize(model);
var model2 = Deserialize<NeuralNetworkModel>();
Assert.Equal(model.Descriptor, model2.Descriptor);
AreEqual(model.Network, model2.Network);
}
