Result of OVA macro doesn't respect auto normalization.

[Ivanidzo4ka]

var dataPath = GetDataPath(@"iris.txt");
using (var env = new TlcEnvironment(42))
{
 var subGraph = env.CreateExperiment();
 var learnerInput = new ML.Trainers.StochasticDualCoordinateAscentBinaryClassifier
 {
 NumThreads = 1
 };
 var learnerOutput = subGraph.Add(learnerInput);

 var experiment = env.CreateExperiment();
 var importInput = new ML.Data.TextLoader(dataPath);
 importInput.Arguments.Column = new ML.Data.TextLoaderColumn[]
 {
 new ML.Data.TextLoaderColumn { Name = "Label", Source = new[] { new ML.Data.TextLoaderRange(0) } },
 new ML.Data.TextLoaderColumn { Name = "Features", Source = new[] { new ML.Data.TextLoaderRange(1,4) } }
 };

 var importOutput = experiment.Add(importInput);

 var oneVersusAll = new ML.Models.OneVersusAll
 {
 TrainingData = importOutput.Data,
 Nodes = subGraph,
 UseProbabilities = true,
 };
 var ovaOutput = experiment.Add(oneVersusAll);
 var scoreInput = new ML.Transforms.DatasetScorer
 {
 Data = importOutput.Data,
 PredictorModel = ovaOutput.PredictorModel
 };
 var scoreOutput = experiment.Add(scoreInput);

 var evalInput = new ML.Models.ClassificationEvaluator
 {
 Data = scoreOutput.ScoredData
 };
 var evalOutput = experiment.Add(evalInput);
 experiment.Compile();
 experiment.SetInput(importInput.InputFile, new SimpleFileHandle(env, dataPath, false, false));
 experiment.Run();
}

Predictor got trained on normalized features, but during prediction time it got non-normalized features.

[Ivanidzo4ka]

related to #34