public MLPEvaluator(RedeMLP mlp, DataProvider prov, EMLPEvaluationInfo evalInfo, bool keepDataNormalized)
{
_MLP = mlp;
_Prov = prov;
_EvaluationInfo = evalInfo;
_EvaluateLikeONSDoes = (_EvaluationInfo & EMLPEvaluationInfo.EvaluateLikeONS) == EMLPEvaluationInfo.EvaluateLikeONS;
_KeepDataNormalized = keepDataNormalized;
NTrain = prov.TrainSet.Length;
mTrain = prov.TrainSet[0].Output.Length;
NVal = prov.ValidationSet.Length;
mVal = prov.ValidationSet[0].Output.Length;
NTest = prov.TestSet.Length;
mTest = prov.TestSet[0].Output.Length;
if (_EvaluateLikeONSDoes && mTrain < 12 && mVal < 12 && mTest < 12)
throw new ArgumentException("O número de saídas para avaliação segundo o ONS deve ser 12");
}
public MLPEvaluator(RedeMLP mlp, DataProvider prov, EMLPEvaluationInfo evalInfo)
: this(mlp, prov, evalInfo, false)
{
}
