/// <summary>
/// Create a base adaptive preprocessor with a certain underlying preprocessor (that will be adapted).
/// </summary>
/// <param name="underlyingPreprocessor">The underlying preprocessor.</param>
/// <param name="adaptionRate">The adaption rate.</param>
/// <param name="sectionNames">The section names to process in this preprocessor (all if null or empty).</param>
protected BaseAdaptivePreprocessor(TPreprocessor underlyingPreprocessor, AdaptionRate adaptionRate, params string[] sectionNames) : base(sectionNames)
{
if (underlyingPreprocessor == null)
{
throw new ArgumentNullException(nameof(underlyingPreprocessor));
}
if (!Enum.IsDefined(typeof(AdaptionRate), adaptionRate))
{
throw new InvalidEnumArgumentException(nameof(adaptionRate), (int)adaptionRate, typeof(AdaptionRate));
}
_underlyingPreprocessor = underlyingPreprocessor;
AdaptionRate = adaptionRate;
}
/// <summary>
/// Create an adaptive normalising preprocessor with a certain output range.
/// </summary>
/// <param name="minOutputValue">The min output value.</param>
/// <param name="maxOutputValue">The max output value.</param>
/// <param name="adaptionRate">The optional adaption rate.</param>
public AdaptiveNormalisingPreprocessor(double minOutputValue, double maxOutputValue, AdaptionRate adaptionRate = AdaptionRate.Every) : this(new NormalisingPreprocessor(Double.NegativeInfinity, Double.PositiveInfinity, minOutputValue, maxOutputValue), adaptionRate)
{
}
/// <summary>
/// Create an adaptive normalising preprocessor with a certain underlying preprocessor.
/// </summary>
/// <param name="underlyingPreprocessor">The underlying preprocessor.</param>
/// <param name="adaptionRate">The adaption rate.</param>
public AdaptiveNormalisingPreprocessor(NormalisingPreprocessor underlyingPreprocessor, AdaptionRate adaptionRate = AdaptionRate.Every) : base(underlyingPreprocessor, adaptionRate)
{
}
/// <summary>
/// Get an adaptive version of this normalising preprocessor.
/// </summary>
/// <param name="adaptionRate">The optional adaption rate.</param>
/// <returns>An adaptive version of this normalising preprocessor.</returns>
public IRecordPreprocessor Adaptive(AdaptionRate adaptionRate = AdaptionRate.Every)
{
return(Preprocess(new AdaptiveNormalisingPreprocessor(this, adaptionRate)));
}
