///<param name="scoreTracker"></param>
/// <param name="resultType">1: L1, 2: L2. Otherwise, return all.</param>
public RegressionTest(ScoreTracker scoreTracker, int?resultType = null)
: base(scoreTracker)
{
_labels = FastTreeRegressionTrainer.GetDatasetRegressionLabels(scoreTracker.Dataset);
Contracts.Check(scoreTracker.Dataset.NumDocs == _labels.Length, "Mismatch between dataset and labels");
_resultType = resultType;
}
private protected override TreeEnsembleModelParameters PrepareModel(IDataView input)
{
var trainer = new FastTreeRegressionTrainer(Env, _trainerOptions);
var trained = trainer.Fit(input);
return(trained.Model);
}
private ObjectiveFunctionImplBase(Dataset trainData, Arguments args)
: base(trainData, args, double.MaxValue) // No notion of maximum step size.
{
_labels = FastTreeRegressionTrainer.GetDatasetRegressionLabels(trainData);
Contracts.Assert(_labels.Length == trainData.NumDocs);
}