本文整理汇总了Java中org.apache.mahout.classifier.sgd.L1类的典型用法代码示例。如果您正苦于以下问题：Java L1类的具体用法？Java L1怎么用？Java L1使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。
L1类属于org.apache.mahout.classifier.sgd包，在下文中一共展示了L1类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: main
import org.apache.mahout.classifier.sgd.L1; //导入依赖的package包/类
public static void main(String[] args) throws Exception {
List<TelephoneCall> calls = Lists.newArrayList(new TelephoneCallParser("bank-full.csv"));
double heldOutPercentage = 0.10;
for (int run = 0; run < 20; run++) {
Collections.shuffle(calls);
int cutoff = (int) (heldOutPercentage * calls.size());
List<TelephoneCall> test = calls.subList(0, cutoff);
List<TelephoneCall> train = calls.subList(cutoff, calls.size());
OnlineLogisticRegression lr = new OnlineLogisticRegression(NUM_CATEGORIES, TelephoneCall.FEATURES, new L1())
.learningRate(1)
.alpha(1)
.lambda(0.000001)
.stepOffset(10000)
.decayExponent(0.2);
for (int pass = 0; pass < 20; pass++) {
for (TelephoneCall observation : train) {
lr.train(observation.getTarget(), observation.asVector());
}
if (pass % 5 == 0) {
Auc eval = new Auc(0.5);
for (TelephoneCall testCall : test) {
eval.add(testCall.getTarget(), lr.classifyScalar(testCall.asVector()));
}
System.out.printf("%d, %.4f, %.4f\n", pass, lr.currentLearningRate(), eval.auc());
}
}
}
}
开发者ID:frankscholten，项目名称:mahout-sgd-bank-marketing，代码行数:34，代码来源:TelephoneCallClassificationMain.java
示例2: LogisticRegressionModel
import org.apache.mahout.classifier.sgd.L1; //导入依赖的package包/类
public LogisticRegressionModel(int NumCate,int NumFeature,double lambda,int learningRate){
learningAlgo = new OnlineLogisticRegression(NumCate, NumFeature, new L1());
learningAlgo.lambda(lambda);
learningAlgo.learningRate(learningRate);
}