private PerceptronTrainerStepPrediction TrainStepPredict()
{
State = PerceptronTrainerState.Training;
PerceptronTrainerStepPrediction result = new PerceptronTrainerStepPrediction();
PerceptronTrainerDatapoint CurrentDatapoint = Datapoints[CurrentTrainStep];
if (CurrentDatapoint.IsPositive)
{
result.DataPoint = CurrentDatapoint.Datapoint;
result.isPositiveDatapoint = true;
if (BiasedLearning)
{
return(PredictPositiveBiased(result));
}
else
{
return(PredictPositive(result));
}
}
else
{
result.DataPoint = CurrentDatapoint.Datapoint;
result.isPositiveDatapoint = false;
if (BiasedLearning)
{
return(PredictNegativeBiased(result));
}
else
{
return(PredictNegative(result));
}
}
}
private PerceptronTrainerStepPrediction PredictNegative(PerceptronTrainerStepPrediction result)
{
if ((result.DataPoint * Perceptron.W) > 0)
{
result.Error = true;
result.CurrentWeight = CurrentWeight;
result.Correction = result.DataPoint * LearningRate * -1;
result.ResultingWeight = result.CurrentWeight + result.Correction;
return(result);
}
else
{
result.Error = false;
return(result);
}
}
private PerceptronTrainerStepPrediction PredictPositiveBiased(PerceptronTrainerStepPrediction result)
{
if ((result.DataPoint * this.Perceptron.W + this.Perceptron.Bias) <= 0)
{
result.Error = true;
result.CurrentWeight = CurrentWeight;
result.Correction = result.DataPoint * LearningRate;
result.ResultingWeight = result.CurrentWeight + result.Correction;
result.CurrentBias = CurrentBias;
result.ResultingBias = CurrentBias + LearningRate;
return(result);
}
else
{
result.Error = false;
return(result);
}
}