/// <summary>
/// Computes the readout unit.
/// </summary>
/// <param name="predictors">The predictors.</param>
/// <returns>The readout unit's composite result.</returns>
public CompositeResult Compute(double[] predictors)
{
if (!Ready)
{
throw new InvalidOperationException($"Readout unit {Name} is not ready to operate. Call the Build method first.");
}
double[] result = _clusterChain.Compute(predictors, out List <Tuple <int, double[]> > mainClusterSubResults);
return(new CompositeResult(result, NonRecurrentNetUtils.ExtractVectors(mainClusterSubResults)));
}
/// <summary>
/// Creates an initialized instance.
/// </summary>
/// <param name="elem">Xml element containing the initialization settings</param>
public ClassificationNetworksSettings(XElement elem)
{
//Validation
XElement settingsElem = Validate(elem, XsdTypeName);
//Parsing
NetworkCfgCollection = NonRecurrentNetUtils.LoadSettingsCollection(settingsElem);
return;
}
private double[] CreateInputVector(CompositeResult[] allReadoutUnitResults)
{
OneTakesAllClusterChainDecisionSettings clusterCfg = (OneTakesAllClusterChainDecisionSettings)_groupCfg.DecisionCfg;
List <double[]> components = new List <double[]>();
foreach (int unitIdx in MemberReadoutUnitIndexCollection)
{
if (clusterCfg.UseReadoutUnitsFinalResult)
{
components.Add(allReadoutUnitResults[unitIdx].Result);
}
if (clusterCfg.UseReadoutUnitsSubResults)
{
foreach (double[] subResult in allReadoutUnitResults[unitIdx].SubResults)
{
components.Add(subResult);
}
}
}
return(NonRecurrentNetUtils.Flattenize(components));
}
