public override void CalculateMetrics(FeatureSubsetModel <TOutput> model,
ISubsetSelector subsetSelector, Subset subset, Batch batch, bool needMetrics)
{
base.CalculateMetrics(model, subsetSelector, subset, batch, needMetrics);
var vm = model.Predictor as IValueMapper;
Host.Check(vm != null, "Predictor doesn't implement the expected interface");
var map = vm.GetMapper <VBuffer <Single>, TOutput>();
TOutput[] preds = new TOutput[100];
int count = 0;
var data = subsetSelector.GetTestData(subset, batch);
using (var cursor = new FeatureFloatVectorCursor(data, CursOpt.AllFeatures))
{
while (cursor.MoveNext())
{
Utils.EnsureSize(ref preds, count + 1);
map(in cursor.Features, ref preds[count]);
count++;
}
}
Array.Resize(ref preds, count);
_predictions[model] = preds;
}
public virtual void CalculateMetrics(FeatureSubsetModel <TOutput> model,
ISubsetSelector subsetSelector, Subset subset, Batch batch, bool needMetrics)
{
if (!needMetrics || model == null || model.Metrics != null)
{
return;
}
using (var ch = Host.Start("Calculate metrics"))
{
RoleMappedData testData = subsetSelector.GetTestData(subset, batch);
// Because the training and test datasets are drawn from the same base dataset, the test data role mappings
// are the same as for the train data.
IDataScorerTransform scorePipe = ScoreUtils.GetScorer(model.Predictor, testData, Host, testData.Schema);
RoleMappedData scoredTestData = new RoleMappedData(scorePipe,
GetColumnRoles(testData.Schema, scorePipe.Schema));
// REVIEW: Should we somehow allow the user to customize the evaluator?
// By what mechanism should we allow that?
IEvaluator evaluator = GetEvaluator(Host);
// REVIEW: with the new evaluators, metrics of individual models are no longer
// printed to the Console. Consider adding an option on the combiner to print them.
// REVIEW: Consider adding an option to the combiner to save a data view
// containing all the results of the individual models.
var metricsDict = evaluator.Evaluate(scoredTestData);
if (!metricsDict.TryGetValue(MetricKinds.OverallMetrics, out IDataView metricsView))
{
throw Host.Except("Evaluator did not produce any overall metrics");
}
// REVIEW: We're assuming that the metrics of interest are always doubles here.
var metrics = EvaluateUtils.GetMetrics(metricsView, getVectorMetrics: false);
model.Metrics = metrics.ToArray();
}
}
private bool EnsureMinimumFeaturesSelected(Subset subset)
{
if (subset.SelectedFeatures == null)
{
return(true);
}
for (int i = 0; i < subset.SelectedFeatures.Count; i++)
{
if (subset.SelectedFeatures[i])
{
return(true);
}
}
return(false);
}
public override void CalculateMetrics(FeatureSubsetModel <TOutput> model,
ISubsetSelector subsetSelector, Subset subset, Batch batch, bool needMetrics)
{
base.CalculateMetrics(model, subsetSelector, subset, batch, true);
}
