Examples with LoggerConfig org.apache.logging.log4j.core.config.LoggerConfig used on opensource projects

Example 61 with LoggerConfig

use of org.apache.logging.log4j.core.config.LoggerConfig in project pyramid by cheng-li.

the class ElasticNetLogisticTrainerTest method main.

public static void main(String[] args) throws Exception {
    LoggerContext ctx = (LoggerContext) LogManager.getContext(false);
    Configuration config = ctx.getConfiguration();
    LoggerConfig loggerConfig = config.getLoggerConfig(LogManager.ROOT_LOGGER_NAME);
    loggerConfig.setLevel(Level.OFF);
    ctx.updateLoggers();
    test3();
}

Example 62 with LoggerConfig

use of org.apache.logging.log4j.core.config.LoggerConfig in project pyramid by cheng-li.

the class BMTrainerTest method main.

public static void main(String[] args) {
    LoggerContext ctx = (LoggerContext) LogManager.getContext(false);
    Configuration config = ctx.getConfiguration();
    LoggerConfig loggerConfig = config.getLoggerConfig(LogManager.ROOT_LOGGER_NAME);
    loggerConfig.setLevel(Level.DEBUG);
    ctx.updateLoggers();
    test5();
}

Example 63 with LoggerConfig

use of org.apache.logging.log4j.core.config.LoggerConfig in project pyramid by cheng-li.

the class AugmentedLRLossTest method main.

public static void main(String[] args) throws Exception {
    LoggerContext ctx = (LoggerContext) LogManager.getContext(false);
    Configuration config = ctx.getConfiguration();
    LoggerConfig loggerConfig = config.getLoggerConfig(LogManager.ROOT_LOGGER_NAME);
    loggerConfig.setLevel(Level.DEBUG);
    ctx.updateLoggers();
    MultiLabelClfDataSet dataSet = TRECFormat.loadMultiLabelClfDataSet(new File(DATASETS, "scene/train"), DataSetType.ML_CLF_DENSE, true);
    MultiLabelClfDataSet testSet = TRECFormat.loadMultiLabelClfDataSet(new File(DATASETS, "scene/test"), DataSetType.ML_CLF_DENSE, true);
    AugmentedLR augmentedLR = new AugmentedLR(dataSet.getNumFeatures(), 1);
    double[][] gammas = new double[dataSet.getNumDataPoints()][1];
    for (int i = 0; i < dataSet.getNumDataPoints(); i++) {
        gammas[i][0] = 1;
    }
    AugmentedLRLoss loss = new AugmentedLRLoss(dataSet, 0, gammas, augmentedLR, 1, 1);
    LBFGS lbfgs = new LBFGS(loss);
    for (int i = 0; i < 100; i++) {
        lbfgs.iterate();
        System.out.println(loss.getValue());
    }
}