Examples with DensityOutput com.amazon.randomcutforest.returntypes.DensityOutput used on opensource projects

Example 6 with DensityOutput

use of com.amazon.randomcutforest.returntypes.DensityOutput in project random-cut-forest-by-aws by aws.

the class RandomCutForestShingledBenchmark method basicDensityAndUpdate.

@Benchmark
@OperationsPerInvocation(DATA_SIZE)
public RandomCutForest basicDensityAndUpdate(BenchmarkState state, Blackhole blackhole) {
    double[][] data = state.data;
    forest = state.forest;
    DensityOutput output = new DensityOutput(forest.getDimensions(), forest.getSampleSize());
    for (int i = INITIAL_DATA_SIZE; i < data.length; i++) {
        output = forest.getSimpleDensity(data[i]);
        forest.update(data[i]);
    }
    blackhole.consume(output);
    return forest;
}

Example 7 with DensityOutput

use of com.amazon.randomcutforest.returntypes.DensityOutput in project random-cut-forest-by-aws by aws.

the class RandomCutForestFunctionalTest method testSimpleDensity.

@ParameterizedTest
@ArgumentsSource(TestForestProvider.class)
public void testSimpleDensity(RandomCutForest forest) {
    DensityOutput output1 = forest.getSimpleDensity(new double[] { 0.0, 0.0, 0.0 });
    DensityOutput output2 = forest.getSimpleDensity(new double[] { 6.0, 6.0, 0.0 });
    DensityOutput output3 = forest.getSimpleDensity(new double[] { -4.0, -4.0, 0.0 });
    DensityOutput output4 = forest.getSimpleDensity(new double[] { -6.0, -6.0, 0.0 });
    assertTrue(output1.getDensity(0.001, 3) > output2.getDensity(0.001, 3));
    assertTrue(output1.getDensity(0.001, 3) > output3.getDensity(0.001, 3));
    assertTrue(output1.getDensity(0.001, 3) > output4.getDensity(0.001, 3));
    assertTrue(output3.getDensity(0.001, 3) > output4.getDensity(0.001, 3));
}

Example 8 with DensityOutput

use of com.amazon.randomcutforest.returntypes.DensityOutput in project random-cut-forest-by-aws by aws.

the class RandomCutForestBenchmark method basicDensityAndUpdate.

@Benchmark
@OperationsPerInvocation(DATA_SIZE)
public RandomCutForest basicDensityAndUpdate(BenchmarkState state, Blackhole blackhole) {
    double[][] data = state.data;
    forest = state.forest;
    DensityOutput output = new DensityOutput(forest.getDimensions(), forest.getSampleSize());
    for (int i = INITIAL_DATA_SIZE; i < data.length; i++) {
        output = forest.getSimpleDensity(data[i]);
        forest.update(data[i]);
    }
    blackhole.consume(output);
    return forest;
}