public IEstimator <ITransformer> ToEstimator()
{
IEstimator <ITransformer> pipeline = new EstimatorChain <ITransformer>();
// Append each transformer to the pipeline
foreach (var transform in Transforms)
{
if (transform.Estimator != null)
{
pipeline = pipeline.Append(transform.Estimator);
}
}
// Get learner
var learner = Trainer.BuildTrainer();
if (_cacheBeforeTrainer)
{
pipeline = pipeline.AppendCacheCheckpoint(_context);
}
// Append learner to pipeline
pipeline = pipeline.Append(learner);
// Append each post-trainer transformer to the pipeline
foreach (var transform in TransformsPostTrainer)
{
if (transform.Estimator != null)
{
pipeline = pipeline.Append(transform.Estimator);
}
}
return(pipeline);
}
public static SuggestedPipeline Build(MLContext context,
ICollection <SuggestedTransform> transforms,
ICollection <SuggestedTransform> transformsPostTrainer,
SuggestedTrainer trainer,
CacheBeforeTrainer cacheBeforeTrainerSettings)
{
var trainerInfo = trainer.BuildTrainer().Info;
AddNormalizationTransforms(context, trainerInfo, transforms);
var cacheBeforeTrainer = ShouldCacheBeforeTrainer(trainerInfo, cacheBeforeTrainerSettings);
return(new SuggestedPipeline(transforms, transformsPostTrainer, trainer, context, cacheBeforeTrainer));
}