public void Train(T[] inputData, T[] knownOutputs, RegressionConfig config = null)
{
if (config != null)
{
for (int i = 0; i < config.Epochs; i++)
{
if (config.Shuffle)
{
Shuffle(inputData, knownOutputs);
}
if (config.Optimizer == OPTIMIZER.STOCHASTIC_GRADIENT_DESCENT)
{
SGD(inputData, knownOutputs);
}
else
{
BatchGD(inputData, knownOutputs);
}
}
}
else
{
config = new RegressionConfig();
if (config.Optimizer == OPTIMIZER.STOCHASTIC_GRADIENT_DESCENT)
{
SGD(inputData, knownOutputs);
}
else
{
BatchGD(inputData, knownOutputs);
}
}
}
/// <summary>
/// Initializes a new instance of the <see cref="Genomics.BaseData"/> class.
/// </summary>
/// <param name="xmlFile">Xml file.</param>
public BaseData(string outputRoot, string plotRoot, string scriptRoot, string xmlFile)
: base(outputRoot, plotRoot, scriptRoot)
{
ConfigData = new RegressionConfig(xmlFile);
}