internal static LearnerVector AsLearnerVector(IList <Learner> input)
{
LearnerVector inputVector = new LearnerVector();
foreach (var element in input)
{
inputVector.Add(element);
}
return(inputVector);
}
/// <summary>
/// construct a trainer
/// </summary>
/// <param name="model">model to train</param>
/// <param name="lossFunction">loss function</param>
/// <param name="evaluationFunction">evaluation function</param>
/// <param name="parameterLearners">parameters to train</param>
/// <param name="progressWriters">training updater</param>
/// <returns></returns>
public static Trainer CreateTrainer(Function model, Function lossFunction, Function evaluationFunction, IList <Learner> parameterLearners,
ProgressWriterVector progressWriters = null)
{
using (LearnerVector learnerVector = Helper.AsLearnerVector(parameterLearners))
if (progressWriters != null)
{
return(CNTKLib.CreateTrainer(model, lossFunction, evaluationFunction, learnerVector, progressWriters));
}
else
{
return(CNTKLib.CreateTrainer(model, lossFunction, evaluationFunction, learnerVector));
}
}