Examples with GradientDescent edu.neu.ccs.pyramid.optimization.GradientDescent used on opensource projects

Example 1 with GradientDescent

use of edu.neu.ccs.pyramid.optimization.GradientDescent in project pyramid by cheng-li.

the class LogRiskOptimizer method updateModelPartial.

private void updateModelPartial() {
    if (logger.isDebugEnabled()) {
        logger.debug("start updateModelPartial()");
    }
    KLLoss klLoss = new KLLoss(crf, dataSet, targets, variance);
    // todo
    Optimizer opt = null;
    switch(optimizer) {
        case "LBFGS":
            opt = new LBFGS(klLoss);
            break;
        case "GD":
            opt = new GradientDescent(klLoss);
            break;
        default:
            throw new IllegalArgumentException("unknown");
    }
    opt.getTerminator().setMaxIteration(10);
    opt.optimize();
    if (logger.isDebugEnabled()) {
        logger.debug("finish updateModelPartial()");
    }
}

Example 2 with GradientDescent

use of edu.neu.ccs.pyramid.optimization.GradientDescent in project pyramid by cheng-li.

the class NoiseOptimizerLR method updateModel.

private void updateModel() {
    if (logger.isDebugEnabled()) {
        logger.debug("start updateModel()");
    }
    KLLoss klLoss = new KLLoss(crf, dataSet, targets, variance);
    // todo
    Optimizer opt = null;
    switch(optimizer) {
        case "LBFGS":
            opt = new LBFGS(klLoss);
            break;
        case "GD":
            opt = new GradientDescent(klLoss);
            break;
        default:
            throw new IllegalArgumentException("unknown");
    }
    opt.optimize();
    if (logger.isDebugEnabled()) {
        logger.debug("finish updateModel()");
    }
}

Example 3 with GradientDescent

use of edu.neu.ccs.pyramid.optimization.GradientDescent in project pyramid by cheng-li.

the class NoiseOptimizerLR method updateModelPartial.

private void updateModelPartial(int modelIterations) {
    if (logger.isDebugEnabled()) {
        logger.debug("start updateModelPartial()");
    }
    KLLoss klLoss = new KLLoss(crf, dataSet, targets, variance);
    // todo
    Optimizer opt = null;
    switch(optimizer) {
        case "LBFGS":
            opt = new LBFGS(klLoss);
            break;
        case "GD":
            opt = new GradientDescent(klLoss);
            break;
        default:
            throw new IllegalArgumentException("unknown");
    }
    opt.getTerminator().setMaxIteration(modelIterations);
    opt.optimize();
    if (logger.isDebugEnabled()) {
        logger.debug("finish updateModelPartial()");
    }
}

Example 4 with GradientDescent

use of edu.neu.ccs.pyramid.optimization.GradientDescent in project pyramid by cheng-li.

the class NoiseOptimizer method updateModel.

private void updateModel() {
    if (logger.isDebugEnabled()) {
        logger.debug("start updateModel()");
    }
    KLLoss klLoss = new KLLoss(crf, dataSet, targets, variance);
    // todo
    Optimizer opt = null;
    switch(optimizer) {
        case "LBFGS":
            opt = new LBFGS(klLoss);
            break;
        case "GD":
            opt = new GradientDescent(klLoss);
            break;
        default:
            throw new IllegalArgumentException("unknown");
    }
    opt.optimize();
    if (logger.isDebugEnabled()) {
        logger.debug("finish updateModel()");
    }
}

Example 5 with GradientDescent

use of edu.neu.ccs.pyramid.optimization.GradientDescent in project pyramid by cheng-li.

the class NoiseOptimizer method updateModelPartial.

private void updateModelPartial(int modelIterations) {
    if (logger.isDebugEnabled()) {
        logger.debug("start updateModelPartial()");
    }
    KLLoss klLoss = new KLLoss(crf, dataSet, targets, variance);
    // todo
    Optimizer opt = null;
    switch(optimizer) {
        case "LBFGS":
            opt = new LBFGS(klLoss);
            break;
        case "GD":
            opt = new GradientDescent(klLoss);
            break;
        default:
            throw new IllegalArgumentException("unknown");
    }
    opt.getTerminator().setMaxIteration(modelIterations);
    opt.optimize();
    if (logger.isDebugEnabled()) {
        logger.debug("finish updateModelPartial()");
    }
}