/// <summary>
/// Deep copy constructor
/// </summary>
/// <param name="source">Source instance</param>
public QRDRegrTrainerSettings(QRDRegrTrainerSettings source)
{
NumOfAttempts = source.NumOfAttempts;
NumOfAttemptEpochs = source.NumOfAttemptEpochs;
NoiseZeroMargin = source.NoiseZeroMargin;
NoiseSeekerCfg = (ParamSeekerSettings)source.NoiseSeekerCfg.DeepClone();
return;
}
//Constructors
/// <summary>
/// Constructs an initialized instance
/// </summary>
/// <param name="numOfAttemptEpochs">Number of attempt epochs</param>
/// <param name="lambdaSeekerCfg">Configuration of seeker of lambda hyperparameter value</param>
public RidgeRegrTrainerSettings(int numOfAttemptEpochs, ParamSeekerSettings lambdaSeekerCfg = null)
{
NumOfAttemptEpochs = numOfAttemptEpochs;
if (lambdaSeekerCfg == null)
{
LambdaSeekerCfg = new ParamSeekerSettings(DefaultMinLambda, DefaultMaxLambda, DefaultSteps);
}
else
{
LambdaSeekerCfg = lambdaSeekerCfg.DeepClone();
}
return;
}
/// <summary>
/// Creates the instance and initializes it from given xml element.
/// Content of xml element is always validated against the xml schema.
/// </summary>
/// <param name="elem">Xml data containing linear regression trainer settings</param>
public RidgeRegrTrainerSettings(XElement elem)
{
//Validation
ElemValidator validator = new ElemValidator();
Assembly assemblyRCNet = Assembly.GetExecutingAssembly();
validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Network.FF.RidgeRegrTrainerSettings.xsd");
validator.AddXsdFromResources(assemblyRCNet, "RCNet.RCNetTypes.xsd");
XElement settingsElem = validator.Validate(elem, "rootElem");
//Parsing
NumOfAttemptEpochs = int.Parse(settingsElem.Attribute("attemptEpochs").Value, CultureInfo.InvariantCulture);
LambdaSeekerCfg = new ParamSeekerSettings(settingsElem.Descendants("lambda").First());
return;
}
//Constructors
/// <summary>
/// Constructs an initialized instance
/// </summary>
/// <param name="numOfAttempts">Number of attempts</param>
/// <param name="numOfAttemptEpochs">Number of attempt epochs</param>
/// <param name="noiseZeroMargin">Margin of noise values from zero</param>
/// <param name="maxNoiseSeekerCfg">Configuration of seeker of MaxNoise hyperparameter value</param>
public QRDRegrTrainerSettings(int numOfAttempts,
int numOfAttemptEpochs,
double noiseZeroMargin = DefaultNoiseZeroMargin,
ParamSeekerSettings maxNoiseSeekerCfg = null
)
{
NumOfAttempts = numOfAttempts;
NumOfAttemptEpochs = numOfAttemptEpochs;
NoiseZeroMargin = noiseZeroMargin;
if (maxNoiseSeekerCfg == null)
{
MaxNoiseSeekerCfg = new ParamSeekerSettings(DefaultMinNoise, DefaultMaxNoise, DefaultSteps);
}
else
{
MaxNoiseSeekerCfg = maxNoiseSeekerCfg.DeepClone();
}
return;
}
/// <summary>
/// Creates an initialized instance.
/// </summary>
/// <param name="elem">Xml data containing linear regression trainer settings</param>
public RidgeRegrTrainerSettings(XElement elem)
{
//Validation
XElement settingsElem = Validate(elem, XsdTypeName);
//Parsing
NumOfAttemptEpochs = int.Parse(settingsElem.Attribute("attemptEpochs").Value, CultureInfo.InvariantCulture);
XElement lambdaSeekerSettingsElem = settingsElem.Elements("lambda").FirstOrDefault();
if (lambdaSeekerSettingsElem != null)
{
LambdaSeekerCfg = new ParamSeekerSettings(lambdaSeekerSettingsElem);
}
else
{
LambdaSeekerCfg = new ParamSeekerSettings(DefaultMinLambda, DefaultMaxLambda, DefaultSteps);
}
Check();
return;
}
/// <summary>
/// Creates an initialized instance.
/// </summary>
/// <param name="elem">Xml data containing trainer settings</param>
public QRDRegrTrainerSettings(XElement elem)
{
//Validation
XElement settingsElem = Validate(elem, XsdTypeName);
//Parsing
NumOfAttempts = int.Parse(settingsElem.Attribute("attempts").Value, CultureInfo.InvariantCulture);
NumOfAttemptEpochs = int.Parse(settingsElem.Attribute("attemptEpochs").Value, CultureInfo.InvariantCulture);
NoiseZeroMargin = double.Parse(settingsElem.Attribute("noiseZeroMargin").Value, CultureInfo.InvariantCulture);
XElement noiseSeekerSettingsElem = settingsElem.Elements("noise").FirstOrDefault();
if (noiseSeekerSettingsElem != null)
{
NoiseSeekerCfg = new ParamSeekerSettings(noiseSeekerSettingsElem);
}
else
{
NoiseSeekerCfg = new ParamSeekerSettings(DefaultMinNoise, DefaultMaxNoise, DefaultSteps);
}
Check();
return;
}
/// <summary>
/// Deep copy constructor
/// </summary>
/// <param name="source">Source instance</param>
public RidgeRegrTrainerSettings(RidgeRegrTrainerSettings source)
{
NumOfAttemptEpochs = source.NumOfAttemptEpochs;
LambdaSeekerCfg = (ParamSeekerSettings)source.LambdaSeekerCfg.DeepClone();
return;
}
