public Entrenamiento(SerializationInfo info, StreamingContext context)
{
Helper.ValidateNotNull(info, "info");
this.inputVector = (double[])info.GetValue("inputVector", typeof(double[]));
this.outputVector = (double[])info.GetValue("outputVector", typeof(double[]));
this.normalizedInputVector = Helper.Normalize(inputVector);
this.normalizedOutputVector = Helper.Normalize(outputVector);
hashCode = 0;
for (int i = 0; i < inputVector.Length; i++)
{
hashCode ^= inputVector[i].GetHashCode();
}
}
public Entrenamiento(double[] inputVector, double[] outputVector)
{
// Validate
Helper.ValidateNotNull(inputVector, "inputVector");
Helper.ValidateNotNull(outputVector, "outputVector");
// Clone and initialize
this.inputVector = (double[])inputVector.Clone();
this.outputVector = (double[])outputVector.Clone();
// Some neural networks require inputs in normalized form.
// As an optimization measure, we normalize and store training samples
this.normalizedInputVector = Helper.Normalize(inputVector);
this.normalizedOutputVector = Helper.Normalize(outputVector);
// Calculate the hash code
hashCode = 0;
for (int i = 0; i < inputVector.Length; i++)
{
hashCode ^= inputVector[i].GetHashCode();
}
}
