public NaiveBayes trainIncremental (Instance instance) { setup (null, instance); // Incrementally add the counts of this new training instance incorporateOneInstance (instance, 1.0); if (instancePipe == null) instancePipe = new Noop (dataAlphabet, targetAlphabet); classifier = new NaiveBayes (instancePipe, pe.estimate(), estimateFeatureMultinomials()); return classifier; }
public NaiveBayes trainIncremental (InstanceList trainingInstancesToAdd) { // Initialize and check instance variables as necessary... setup(trainingInstancesToAdd, null); // Incrementally add the counts of this new training data for (Instance instance : trainingInstancesToAdd) incorporateOneInstance(instance, trainingInstancesToAdd.getInstanceWeight(instance)); // Estimate multinomials, and return a new naive Bayes classifier. // Note that, unlike MaxEnt, NaiveBayes is immutable, so we create a new one each time. classifier = new NaiveBayes (instancePipe, pe.estimate(), estimateFeatureMultinomials()); return classifier; }
public NaiveBayes trainIncremental (Instance instance) { setup (null, instance); // Incrementally add the counts of this new training instance incorporateOneInstance (instance, 1.0); if (instancePipe == null) instancePipe = new Noop (dataAlphabet, targetAlphabet); classifier = new NaiveBayes (instancePipe, pe.estimate(), estimateFeatureMultinomials()); return classifier; }
public NaiveBayes trainIncremental (InstanceList trainingInstancesToAdd) { // Initialize and check instance variables as necessary... setup(trainingInstancesToAdd, null); // Incrementally add the counts of this new training data for (Instance instance : trainingInstancesToAdd) incorporateOneInstance(instance, trainingInstancesToAdd.getInstanceWeight(instance)); // Estimate multinomials, and return a new naive Bayes classifier. // Note that, unlike MaxEnt, NaiveBayes is immutable, so we create a new one each time. classifier = new NaiveBayes (instancePipe, pe.estimate(), estimateFeatureMultinomials()); return classifier; }
public NaiveBayes trainIncremental (InstanceList trainingInstancesToAdd) { // Initialize and check instance variables as necessary... setup(trainingInstancesToAdd, null); // Incrementally add the counts of this new training data for (Instance instance : trainingInstancesToAdd) incorporateOneInstance(instance, trainingInstancesToAdd.getInstanceWeight(instance)); // Estimate multinomials, and return a new naive Bayes classifier. // Note that, unlike MaxEnt, NaiveBayes is immutable, so we create a new one each time. classifier = new NaiveBayes (instancePipe, pe.estimate(), estimateFeatureMultinomials()); return classifier; }
public NaiveBayes trainIncremental (Instance instance) { setup (null, instance); // Incrementally add the counts of this new training instance incorporateOneInstance (instance, 1.0); if (instancePipe == null) instancePipe = new Noop (dataAlphabet, targetAlphabet); classifier = new NaiveBayes (instancePipe, pe.estimate(), estimateFeatureMultinomials()); return classifier; }