Package hivemall.io

Examples of hivemall.io.WeightValue

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            final Random rand = new Random(43);
            for(int i = 0; i < 100000; i++) {
                Integer feature = Integer.valueOf(rand.nextInt(100));
                float weight = (float) rand.nextGaussian();
                model.set(feature, new WeightValue(weight));
            }

            waitForMixed(model, 48000, 10000L);

            int numMixed = model.getNumMixed();
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            final Random rand = new Random(43);
            for(int i = 0; i < 1000000; i++) {
                Integer feature = Integer.valueOf(rand.nextInt(100));
                float weight = rand.nextFloat() >= 0.5f ? 1.f : 0.f;
                model.set(feature, new WeightValue(weight));
            }

            waitForMixed(model, 100000, 10000L);

            int numMixed = model.getNumMixed();
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Related Classes of hivemall.io.WeightValue

  • hivemall.classifier.BinaryOnlineClassifierUDTF
  • hivemall.classifier.multiclass.MulticlassOnlineClassifierUDTF
  • hivemall.LearnerBaseUDTF
  • hivemall.mix.server.MixServerTest
  • hivemall.regression.OnlineRegressionUDTF
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