public void TestGetMostProbableValue()
{
string mon = "Monday";
string tue = "Tuesday";
string wed = "Wednesday";
double monVal = 0.01d;
double tueVal = 0.80d;
double wedVal = 0.30d;
Classification <string> result = new Classification <string>();
result.SetActualValues(new[] { mon, tue, wed });
result.SetStats(1, new[] { monVal, tueVal, wedVal });
Assert.IsTrue(result.GetMostProbableValue(1).Equals(tue));
Assert.IsNull(result.GetMostProbableValue(2));
double monVal2 = 0.30d;
double tueVal2 = 0.01d;
double wedVal2 = 0.29d;
result.SetStats(3, new[] { monVal2, tueVal2, wedVal2 });
Assert.IsTrue(result.GetMostProbableValue(3).Equals(mon));
Assert.IsNull(result.GetMostProbableValue(2));
}
private static Func <IInference, int, int> CreateDayOfWeekInferencePrintout(bool on)
{
int cycles = 1;
return((IInference inf, int cellsPerColumn) =>
{
Classification <Object> result = inf.GetClassification("dayOfWeek");
double day = MapToInputData((int[])inf.GetLayerInput());
if (day == 1.0)
{
if (on)
{
Console.WriteLine("\n=========================");
Console.WriteLine("CYCLE: " + cycles);
}
cycles++;
}
if (on)
{
Console.WriteLine("RECORD_NUM: " + inf.GetRecordNum());
Console.WriteLine("ScalarEncoder Input = " + day);
Console.WriteLine("ScalarEncoder Output = " + Arrays.ToString(inf.GetEncoding()));
Console.WriteLine("SpatialPooler Output = " + Arrays.ToString(inf.GetFeedForwardActiveColumns()));
if (inf.GetPreviousPredictiveCells() != null)
{
Console.WriteLine("TemporalMemory Previous Prediction = " +
Arrays.ToString(SDR.CellsAsColumnIndices(inf.GetPreviousPredictiveCells(), cellsPerColumn)));
}
Console.WriteLine("TemporalMemory Actives = " + Arrays.ToString(SDR.AsColumnIndices(inf.GetSdr(), cellsPerColumn)));
Console.Write("CLAClassifier prediction = " +
result.GetMostProbableValue(1) + " --> " + result.GetMostProbableValue(1));
Console.WriteLine(" | CLAClassifier 1 step prob = " + Arrays.ToString(result.GetStats(1)) + "\n");
}
return cycles;
});
}
public void TestCopy()
{
string mon = "Monday";
string tue = "Tuesday";
string wed = "Wednesday";
double monVal = 0.01d;
double tueVal = 0.80d;
double wedVal = 0.30d;
Classification <string> result = new Classification <string>();
result.SetActualValues(new[] { mon, tue, wed });
result.SetStats(1, new[] { monVal, tueVal, wedVal });
Assert.IsTrue(result.GetMostProbableValue(1).Equals(tue));
Assert.IsNull(result.GetMostProbableValue(2));
Classification <string> result2 = result.Copy();
Assert.AreEqual(result, result2);
result2.SetStats(1, new[] { monVal, tueVal, 0.5d });
Assert.AreNotEqual(result, result2);
}