本文整理匯總了Java中edu.stanford.nlp.classify.NBLinearClassifierFactory類的典型用法代碼示例。如果您正苦於以下問題：Java NBLinearClassifierFactory類的具體用法？Java NBLinearClassifierFactory怎麽用？Java NBLinearClassifierFactory使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
NBLinearClassifierFactory類屬於edu.stanford.nlp.classify包，在下文中一共展示了NBLinearClassifierFactory類的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: trainMaxEnt
import edu.stanford.nlp.classify.NBLinearClassifierFactory; //導入依賴的package包/類
private void trainMaxEnt(Dataset<String, String> train) {
int prior = LogPrior.LogPriorType.QUADRATIC.ordinal();
if (flags.useHuber) {
prior = LogPrior.LogPriorType.HUBER.ordinal();
} else if (flags.useQuartic) {
prior = LogPrior.LogPriorType.QUARTIC.ordinal();
}
LinearClassifier<String, String> lc;
if (flags.useNB) {
lc = new NBLinearClassifierFactory<String, String>(flags.sigma).trainClassifier(train);
} else {
LinearClassifierFactory<String, String> lcf = new LinearClassifierFactory<String, String>(flags.tolerance, flags.useSum, prior, flags.sigma, flags.epsilon, flags.QNsize);
if (flags.useQN) {
lcf.useQuasiNewton(flags.useRobustQN);
} else if(flags.useStochasticQN) {
lcf.useStochasticQN(flags.initialGain,flags.stochasticBatchSize);
} else if(flags.useSMD) {
lcf.useStochasticMetaDescent(flags.initialGain, flags.stochasticBatchSize,flags.stochasticMethod,flags.SGDPasses);
} else if(flags.useSGD) {
lcf.useStochasticGradientDescent(flags.gainSGD,flags.stochasticBatchSize);
} else if(flags.useSGDtoQN) {
lcf.useStochasticGradientDescentToQuasiNewton(flags.initialGain, flags.stochasticBatchSize,
flags.SGDPasses, flags.QNPasses, flags.SGD2QNhessSamples,
flags.QNsize, flags.outputIterationsToFile);
} else if(flags.useHybrid) {
lcf.useHybridMinimizer(flags.initialGain, flags.stochasticBatchSize ,flags.stochasticMethod ,flags.hybridCutoffIteration );
} else {
lcf.useConjugateGradientAscent();
}
lc = lcf.trainClassifier(train);
}
this.classifier = lc;
}