public PairwiseModel(PairwiseModel.Builder builder)
{
name = builder.name;
meta = builder.meta;
trainingExamples = builder.trainingExamples;
epochs = builder.epochs;
singletonRatio = builder.singletonRatio;
classifier = new SimpleLinearClassifier(builder.loss, builder.learningRateSchedule, builder.regularizationStrength, builder.modelFile == null ? null : ((builder.modelFile.EndsWith(".ser") || builder.modelFile.EndsWith(".gz")) ? builder.modelFile
: StatisticalCorefTrainer.pairwiseModelsPath + builder.modelFile + "/model.ser"));
str = StatisticalCorefTrainer.FieldValues(builder);
}
public MaxMarginMentionRanker(MaxMarginMentionRanker.Builder builder)
: base(builder)
{
costs = builder.costs;
multiplicativeCost = builder.multiplicativeCost;
if (multiplicativeCost)
{
foreach (MaxMarginMentionRanker.ErrorType et in MaxMarginMentionRanker.ErrorType.Values())
{
losses[et.id] = SimpleLinearClassifier.MaxMargin(builder.costs[et.id]);
}
}
loss = SimpleLinearClassifier.MaxMargin(1.0);
}
public ClustererClassifier(string modelFile, double learningRate)
: base(SimpleLinearClassifier.Risk(), SimpleLinearClassifier.Constant(learningRate), 0, modelFile)
{
}
public ClustererClassifier(double learningRate)
: base(SimpleLinearClassifier.Risk(), SimpleLinearClassifier.Constant(learningRate), 0)
{
}