List of usage examples for org.apache.mahout.ep State getMappedParams
public double[] getMappedParams()
From source file:com.memonews.mahout.sentiment.SGDHelper.java
License:Apache License
static void analyzeState(final SGDInfo info, final int leakType, final int k, final State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner> best) throws IOException { final int bump = info.getBumps()[(int) Math.floor(info.getStep()) % info.getBumps().length]; final int scale = (int) Math.pow(10, Math.floor(info.getStep() / info.getBumps().length)); double maxBeta; double nonZeros; double positive; double norm;/*from www . j a v a 2 s .c o m*/ double lambda = 0; double mu = 0; if (best != null) { final CrossFoldLearner state = best.getPayload().getLearner(); info.setAverageCorrect(state.percentCorrect()); info.setAverageLL(state.logLikelihood()); final OnlineLogisticRegression model = state.getModels().get(0); // finish off pending regularization model.close(); final Matrix beta = model.getBeta(); maxBeta = beta.aggregate(Functions.MAX, Functions.ABS); nonZeros = beta.aggregate(Functions.PLUS, new DoubleFunction() { @Override public double apply(final double v) { return Math.abs(v) > 1.0e-6 ? 1 : 0; } }); positive = beta.aggregate(Functions.PLUS, new DoubleFunction() { @Override public double apply(final double v) { return v > 0 ? 1 : 0; } }); norm = beta.aggregate(Functions.PLUS, Functions.ABS); lambda = best.getMappedParams()[0]; mu = best.getMappedParams()[1]; } else { maxBeta = 0; nonZeros = 0; positive = 0; norm = 0; } if (k % (bump * scale) == 0) { if (best != null) { ModelSerializer.writeBinary("/tmp/news-group-" + k + ".model", best.getPayload().getLearner().getModels().get(0)); } info.setStep(info.getStep() + 0.25); System.out.printf("%.2f\t%.2f\t%.2f\t%.2f\t%.8g\t%.8g\t", maxBeta, nonZeros, positive, norm, lambda, mu); System.out.printf("%d\t%.3f\t%.2f\t%s\n", k, info.getAverageLL(), info.getAverageCorrect() * 100, LEAK_LABELS[leakType % 3]); } }