public void OptimumHiddenUnitsCalculatorCalculatesOptimumNumberOfUnitsForTrainingPattern(int numberOfClassifications, int expectedResult) //Log2(distinctClassifications)
{
var trainingPatterns = new List <TrainingPattern>
{
new TrainingPattern(new double [] { }, new[] { 1d, 0d }),
new TrainingPattern(new double [] { }, new[] { 1d, 0d }),
new TrainingPattern(new double [] { }, new[] { 1d, 0d }),
new TrainingPattern(new double [] { }, new[] { 1d, 0d }),
new TrainingPattern(new double [] { }, new[] { 1d, 0d }),
};
for (var c = 1; c < numberOfClassifications; c++)
{
trainingPatterns.Add(new TrainingPattern(new double[] { }, new[] { 1.1d * c, 1d }));
}
var optimumNumberOfUnits = OptimumHiddenUnitsCalculator.CalculateFor(trainingPatterns);
optimumNumberOfUnits.Should().Be(expectedResult);
}
public IUnitActivationCreatorAndChaining ANewLayerOfHiddenUnitsOptimizedForTrainingPatterns(IEnumerable <TrainingPattern> trainingPatterns)
{
var numberOfUnits = OptimumHiddenUnitsCalculator.CalculateFor(trainingPatterns);
return(ANewLayerOfHiddenUnits(numberOfUnits));
}
