public void TryNext()
{
HyperParamConfig config = distributions.Sample();
//normalizer.
//IContinuousDistribution predictiveDistribution = gaussianProcess.GetPredictiveDistribution(
//evaluatorFunction(distributions.Sample());
}
public void AddExperiment(HyperParamConfig paramConfig, double result)
{
Inputs.InsertRow(Inputs.RowCount, paramConfig.ToVector());
Outputs.Add(result);
if (result < bestValue)
{
bestValue = result;
bestConfig = paramConfig;
}
}