public void Save_Model_Test_Json()
{
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 file = GetPath();
Register.Type <Tennis>();
var model2 = SaveAndLoadJson(model);
Assert.Equal(model.Descriptor, model2.Descriptor);
AreEqual(model.Network, model2.Network);
}
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_Network_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 file = GetPath();
var network = SaveAndLoad(model.Network, file);
AreEqual(model.Network, network);
}
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);
}
