public void train(int startingIndex, ModelManager modelInfo, List data) {
Assert.a(allFeatureTypes.size() > 0, "No features types have been assigned.");
Assert.a(startIndexes == null, "FeatureManager has already been trained.");
startIx = startingIndex;
// Train each of the individual FeatureManagers and calculate offsets
startIndexes = new int[allFeatureTypes.size()];
totalFeatures = 0;
for (int i = 0; i < startIndexes.length; ++i) {
startIndexes[i] = totalFeatures + startIx;
FeatureManager fm = allFeatureTypes.get(i);
List compData =
fm.getInputComponent() == null ? data : new ComponentList(data, fm.getInputComponent());
fm.train(totalFeatures, modelInfo, compData);
totalFeatures += fm.getNumFeatures();
}
}
