Package com.github.pmerienne.trident.ml.stats

Examples of com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

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    for (int i = 0; i < size; i++) {
      features[i] = expectedMean + random.nextGaussian() * stdDev;
    }

    // When
    AdaptiveStreamFeatureStatistics statistics = new AdaptiveStreamFeatureStatistics(1000);
    for (int i = 0; i < size; i++) {
      statistics.update(features[i]);
    }

    // Then
    assertEquals(expectedMean, statistics.getMean(), 0.3);
    assertEquals(stdDev, statistics.getStdDev(), 0.3);
  }
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      double currentMean = Math.min(finalMean, i * step + startMean);
      features[i] = currentMean + random.nextGaussian() * stdDev;
    }

    // When
    AdaptiveStreamFeatureStatistics statistics = new AdaptiveStreamFeatureStatistics(1000);
    for (int i = 0; i < size; i++) {
      statistics.update(features[i]);
    }

    // Then
    assertEquals(finalMean, statistics.getMean(), 0.35);
    assertEquals(stdDev, statistics.getStdDev(), 0.35);
  }
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      double currentStdDev = i * step + startStdDev;
      features[i] = expectedMean + random.nextGaussian() * currentStdDev;
    }

    // When
    AdaptiveStreamFeatureStatistics statistics = new AdaptiveStreamFeatureStatistics(1000);
    for (int i = 0; i < size; i++) {
      statistics.update(features[i]);
    }

    // Then
    assertEquals(expectedMean, statistics.getMean(), 0.3);
    assertEquals(finalStdDev, statistics.getStdDev(), 0.3);
  }
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Related Classes of com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

  • com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatisticsTest
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