public override void Solve(Model model)
{
if (mInputs == null)
GetNeededInputs();
var e = new Expression(Formula,
EvaluateOptions.IterateParameters |
EvaluateOptions.IgnoreCase);
foreach (var inputName in mInputs)
{
var objectDistribution = model[inputName].Output;
e.Parameters[inputName] = objectDistribution;
}
var result = e.Evaluate() as List<object>;
if (result == null)
throw new Exception("");
Output = new Distribution(GetDoubleArray(result));
}
internal RandomDistributionIterator(Distribution target)
{
mTarget = target;
}
public static Distribution InitConstant(double value, int size = DefaultSize)
{
var result = new Distribution(size);
for (int i = 0; i < size; ++i) result[i] = value;
return result;
}
public static Distribution InitGaussian(double mean, double stdDev, int size = DefaultSize)
{
var result = new Distribution(size);
for (int i = 0; i < result.Count; ++i)
{
result[i] = result.GetRandomGaussian() * stdDev + mean;
}
return result;
}
public static Distribution Apply(Distribution d1, Distribution d2, Func<double, double, double> op)
{
var result = new Distribution(d1.Count);
for (int i = 0; i < d1.Count; ++i)
{
result[i] = op(d1.GetRandomItem(), d2.GetRandomItem());
}
return result;
}
internal RandomDistributionIterator(Distribution target)
{
mTarget = target;
}
