public void GaussianNetworkOutOfRangeMeasureUpdateStatsMethod()
{
var net = new GaussianNetwork(new SimpleMeasure("WrongNet", 10U));
net.UpdateStats(new SimpleMeasure("WrongNet", 101U));
}
public void GaussianNetworkOutOfRangeMeasureConstructor()
{
var net = new GaussianNetwork(new SimpleMeasure("WrongNet", 101U));
}
public void GaussianNetworkOutOfRangeMeasureTestInputMethod()
{
var net = new GaussianNetwork(new SimpleMeasure("WrongNet", 10U));
net.TestInput(new SimpleMeasure("WrongNet", 101U));
}
public void GaussianNetworkBusinessLogic()
{
GaussianNetwork net = new GaussianNetwork(new SimpleMeasure("Calvino", 80U));
Assert.AreEqual(net.Mean, 80D, 0.000000000001D);
Assert.AreEqual(net.S, 0D, 0.000000000001D);
Assert.AreEqual(net.StdDev, 0, 0.000000000001D);
Assert.AreEqual(net.N, 1);
Assert.IsFalse(net.TestInput(new SimpleMeasure("Galileo", 80U)));
// under stableN, the SSID is enough
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 80U)));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 79U)));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 10U)));
net.UpdateStats(new SimpleMeasure("Calvino", 40U));
Assert.AreEqual(net.Mean, 60D, 0.000000000001D); //12 digits precision
Assert.AreEqual(net.S, 800D, 0.000000000001D);
Assert.AreEqual(net.StdDev, 20D, 0.000000000001D);
Assert.AreEqual(net.N, 2);
Assert.IsFalse(net.TestInput(new SimpleMeasure("Galileo", 60U)));
// under stableN, the SSID is enough
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 40U)));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 59U)));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 10U)));
net.UpdateStats(new SimpleMeasure("Calvino", 0U));
Assert.AreEqual(net.Mean, 40D, 0.000000000001D);
Assert.AreEqual(net.S, 3200, 0.000000000001D);
Assert.AreEqual(net.StdDev, 32.659863237109D, 0.000000000001D);
Assert.AreEqual(net.N, 3);
Assert.IsFalse(net.TestInput(new SimpleMeasure("Galileo", 40U)));
// under stableN, the SSID is enough
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 40U)));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 39U)));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", 10U)));
for (int i = 0; i < 1000; i++)
{
net.UpdateStats(new SimpleMeasure("Calvino", 40U));
net.UpdateStats(new SimpleMeasure("Calvino", 35U));
net.UpdateStats(new SimpleMeasure("Calvino", 37U));
net.UpdateStats(new SimpleMeasure("Calvino", 38U));
}
Assert.AreEqual(net.Mean, 37.501873594804D, 0.000000000001D);
Assert.AreEqual(net.S, 16218.735948039D, 0.000000001D);
Assert.AreEqual(net.StdDev, 2.01286990465602D, 0.000000000001D);
Assert.AreEqual(net.N, 4003);
Assert.IsFalse(net.TestInput(new SimpleMeasure("Galileo", 37U)));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Round(net.Mean))));
// 1 StdDev
double delta1 = 1 * net.StdDev - 0.001D;
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Floor(net.Mean + delta1))));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Ceiling(net.Mean - delta1))));
// K * StdDev
double deltaK = GaussianNetwork.K * net.StdDev - 0.001D;
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Floor(net.Mean + deltaK))));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Ceiling(net.Mean - deltaK))));
// Over
double deltaO = GaussianNetwork.K * net.StdDev + 1D;
Assert.IsFalse(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Floor(net.Mean + deltaO))));
Assert.IsFalse(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Ceiling(net.Mean - deltaO))));
Assert.IsFalse(net.TestInput(new SimpleMeasure("Calvino", 0U)));
Assert.IsFalse(net.TestInput(new SimpleMeasure("Calvino", 100U)));
// Check K * StdDev < SignalQualityUnit special case
for (int i = 0; i < 1000000; i++)
{
net.UpdateStats(new SimpleMeasure("Calvino", 37U));
}
Assert.AreEqual(net.Mean, 37D, 0.5D);
Assert.Less((net.StdDev * GaussianNetwork.K).CompareTo(GaussianNetwork.SignalQualityUnit), 1);
double deltaU = GaussianNetwork.SignalQualityUnit - 0.001D;
double deltaUO = GaussianNetwork.SignalQualityUnit + 1D;
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Floor(net.Mean + deltaU))));
Assert.IsTrue(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Ceiling(net.Mean - deltaU))));
Assert.IsFalse(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Floor(net.Mean + deltaUO))));
Assert.IsFalse(net.TestInput(new SimpleMeasure("Calvino", (uint)Math.Ceiling(net.Mean - deltaUO))));
}