/// <summary>
/// Trains the model using the ML components in the pipeline.
/// </summary>
public ExtendedPredictionModel Train(IHostEnvironment environment = null)
{
if (environment == null)
{
using (var env = new ConsoleEnvironment(seed: _seed, conc: _conc))
return(Train(env));
}
Experiment experiment = environment.CreateExperiment();
Legacy.ILearningPipelineStep step = null;
List <Legacy.ILearningPipelineLoader> loaders = new List <Legacy.ILearningPipelineLoader>();
List <Var <ITransformModel> > transformModels = new List <Var <ITransformModel> >();
Var <ITransformModel> lastTransformModel = null;
foreach (Legacy.ILearningPipelineItem currentItem in this)
{
if (currentItem is Legacy.ILearningPipelineLoader loader)
{
loaders.Add(loader);
}
step = currentItem.ApplyStep(step, experiment);
if (step is Legacy.ILearningPipelineDataStep dataStep && dataStep.Model != null)
{
transformModels.Add(dataStep.Model);
}
public Legacy.ILearningPipelineStep ApplyStep(Legacy.ILearningPipelineStep previousStep, Experiment experiment)
{
if (previousStep != null)
{
if (!(previousStep is Legacy.ILearningPipelineDataStep dataStep))
{
throw new InvalidOperationException($"{ nameof(NearestNeighborsMultiClass)} only supports an { nameof(Legacy.ILearningPipelineDataStep)} as an input.");
}
TrainingData = dataStep.Data;
}
Output output = EntryPointsNearestNeighborsMultiClassHelper.Add(experiment, this);
return(new NearestNeighborsMultiClassPipelineStep(output));
}
public Legacy.ILearningPipelineStep ApplyStep(Legacy.ILearningPipelineStep previousStep, Experiment experiment)
{
if (previousStep != null)
{
if (!(previousStep is Legacy.ILearningPipelineDataStep dataStep))
{
throw new InvalidOperationException($"{ nameof(PassThrough)} only supports an { nameof(Legacy.ILearningPipelineDataStep)} as an input.");
}
Data = dataStep.Data;
}
Output output = EntryPointsPassThroughHelper.Add(experiment, this);
return(new PassThroughPipelineStep(output));
}
