Namespace NOpenNLP.Tools.Ml.Perceptron

BinaryPerceptronModelWriter: Model writer that saves models in binary format.

PerceptronModelWriter: Abstract parent class for Perceptron writers. It provides the persist method which takes care of the structure of a stored document, and requires an extending class to define precisely how the data should be stored.

PerceptronTrainer: Trains models using the perceptron algorithm. Each outcome is represented as a binary perceptron classifier. This supports standard (integer) weighting as well as average weighting as described in: Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with the Perceptron Algorithm. Michael Collins, EMNLP 2002.

SimplePerceptronSequenceTrainer<T>: Trains models for sequences using the perceptron algorithm. Each outcome is represented as a binary perceptron classifier. This supports standard (integer) weighting as well as average weighting. Sequence information is used in a simplified way to that described in: Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with the Perceptron Algorithm. Michael Collins, EMNLP 2002. Specifically only updates are applied to tokens which were incorrectly tagged by a sequence tagger rather than to all features across the sequence which differ from the training sequence.