org.apache.flink.api.java.summarize.NumericColumnSummary Java Examples
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org.apache.flink.api.java.summarize.NumericColumnSummary.
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Example #1
Source File: DoubleSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetYValues() throws Exception { final Double[] q1y = { 8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68 }; final Double[] q2y = { 9.14, 8.14, 8.74, 8.77, 9.26, 8.1, 6.13, 3.1, 9.13, 7.26, 4.74 }; final Double[] q3y = { 7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73 }; final Double[] q4y = { 6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.5, 5.56, 7.91, 6.89 }; NumericColumnSummary<Double> q1 = summarize(q1y); NumericColumnSummary<Double> q2 = summarize(q2y); NumericColumnSummary<Double> q3 = summarize(q3y); NumericColumnSummary<Double> q4 = summarize(q4y); // the y values are have less precisely matching means and variances Assert.assertEquals(7.5, q1.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q2.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q3.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q4.getMean().doubleValue(), 0.001); Assert.assertEquals(4.12, q1.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q2.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q3.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q4.getVariance().doubleValue(), 0.01); }
Example #2
Source File: FloatSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetXValues() throws Exception { final Float[] q1x = { 10.0f, 8.0f, 13.0f, 9.0f, 11.0f, 14.0f, 6.0f, 4.0f, 12.0f, 7.0f, 5.0f }; final Float[] q4x = { 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 19.0f, 8.0f, 8.0f, 8.0f }; NumericColumnSummary<Float> q1 = summarize(q1x); NumericColumnSummary<Float> q4 = summarize(q4x); Assert.assertEquals(9.0, q1.getMean().doubleValue(), 0.0f); Assert.assertEquals(9.0, q4.getMean().doubleValue(), 0.0f); Assert.assertEquals(11.0, q1.getVariance().doubleValue(), 1e-10d); Assert.assertEquals(11.0, q4.getVariance().doubleValue(), 1e-10d); double stddev = Math.sqrt(11.0f); Assert.assertEquals(stddev, q1.getStandardDeviation().doubleValue(), 1e-10d); Assert.assertEquals(stddev, q4.getStandardDeviation().doubleValue(), 1e-10d); }
Example #3
Source File: FloatValueSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating * and combining a bunch of different ways. */ @Override protected NumericColumnSummary<Float> summarize(Float... values) { FloatValue[] floatValues = new FloatValue[values.length]; for (int i = 0; i < values.length; i++) { if (values[i] != null) { floatValues[i] = new FloatValue(values[i]); } } return new AggregateCombineHarness<FloatValue, NumericColumnSummary<Float>, ValueSummaryAggregator.FloatValueSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Float> result1, NumericColumnSummary<Float> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0f); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0f); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-10d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-10d); } }.summarize(floatValues); }
Example #4
Source File: LongSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. */ protected NumericColumnSummary<Long> summarize(Long... values) { return new AggregateCombineHarness<Long, NumericColumnSummary<Long>, LongSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Long> result1, NumericColumnSummary<Long> result2) { Assert.assertEquals(result1.getTotalCount(), result2.getTotalCount()); Assert.assertEquals(result1.getNullCount(), result2.getNullCount()); Assert.assertEquals(result1.getMissingCount(), result2.getMissingCount()); Assert.assertEquals(result1.getNonMissingCount(), result2.getNonMissingCount()); Assert.assertEquals(result1.getInfinityCount(), result2.getInfinityCount()); Assert.assertEquals(result1.getNanCount(), result2.getNanCount()); Assert.assertEquals(result1.containsNull(), result2.containsNull()); Assert.assertEquals(result1.containsNonNull(), result2.containsNonNull()); Assert.assertEquals(result1.getMin().longValue(), result2.getMin().longValue()); Assert.assertEquals(result1.getMax().longValue(), result2.getMax().longValue()); Assert.assertEquals(result1.getSum().longValue(), result2.getSum().longValue()); Assert.assertEquals(result1.getMean().doubleValue(), result2.getMean().doubleValue(), 1e-12d); Assert.assertEquals(result1.getVariance().doubleValue(), result2.getVariance().doubleValue(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation().doubleValue(), result2.getStandardDeviation().doubleValue(), 1e-12d); } }.summarize(values); }
Example #5
Source File: DoubleValueSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating and combining * a bunch of different ways. */ protected NumericColumnSummary<Double> summarize(Double... values) { DoubleValue[] doubleValues = new DoubleValue[values.length]; for (int i = 0; i < values.length; i++) { if (values[i] != null) { doubleValues[i] = new DoubleValue(values[i]); } } return new AggregateCombineHarness<DoubleValue, NumericColumnSummary<Double>, ValueSummaryAggregator.DoubleValueSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Double> result1, NumericColumnSummary<Double> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-12d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-12d); } }.summarize(doubleValues); }
Example #6
Source File: FloatSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetYValues() throws Exception { final Float[] q1y = { 8.04f, 6.95f, 7.58f, 8.81f, 8.33f, 9.96f, 7.24f, 4.26f, 10.84f, 4.82f, 5.68f }; final Float[] q2y = { 9.14f, 8.14f, 8.74f, 8.77f, 9.26f, 8.1f, 6.13f, 3.1f, 9.13f, 7.26f, 4.74f }; final Float[] q3y = { 7.46f, 6.77f, 12.74f, 7.11f, 7.81f, 8.84f, 6.08f, 5.39f, 8.15f, 6.42f, 5.73f }; final Float[] q4y = { 6.58f, 5.76f, 7.71f, 8.84f, 8.47f, 7.04f, 5.25f, 12.5f, 5.56f, 7.91f, 6.89f }; NumericColumnSummary<Float> q1 = summarize(q1y); NumericColumnSummary<Float> q2 = summarize(q2y); NumericColumnSummary<Float> q3 = summarize(q3y); NumericColumnSummary<Float> q4 = summarize(q4y); // the y values are have less precisely matching means and variances Assert.assertEquals(7.5, q1.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q2.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q3.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q4.getMean().doubleValue(), 0.001); Assert.assertEquals(4.12, q1.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q2.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q3.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q4.getVariance().doubleValue(), 0.01); }
Example #7
Source File: FloatSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating * and combining a bunch of different ways. */ protected NumericColumnSummary<Float> summarize(Float... values) { return new AggregateCombineHarness<Float, NumericColumnSummary<Float>, FloatSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Float> result1, NumericColumnSummary<Float> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0f); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0f); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-12d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-12d); } }.summarize(values); }
Example #8
Source File: DoubleSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetXValues() throws Exception { final Double[] q1x = { 10.0, 8.0, 13.0, 9.0, 11.0, 14.0, 6.0, 4.0, 12.0, 7.0, 5.0 }; final Double[] q4x = { 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 19.0, 8.0, 8.0, 8.0 }; NumericColumnSummary<Double> q1 = summarize(q1x); NumericColumnSummary<Double> q4 = summarize(q4x); Assert.assertEquals(9.0, q1.getMean().doubleValue(), 0.0); Assert.assertEquals(9.0, q4.getMean().doubleValue(), 0.0); Assert.assertEquals(11.0, q1.getVariance().doubleValue(), 1e-10d); Assert.assertEquals(11.0, q4.getVariance().doubleValue(), 1e-10d); double stddev = Math.sqrt(11.0); Assert.assertEquals(stddev, q1.getStandardDeviation().doubleValue(), 1e-10d); Assert.assertEquals(stddev, q4.getStandardDeviation().doubleValue(), 1e-10d); }
Example #9
Source File: LongSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. */ protected NumericColumnSummary<Long> summarize(Long... values) { return new AggregateCombineHarness<Long, NumericColumnSummary<Long>, LongSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Long> result1, NumericColumnSummary<Long> result2) { Assert.assertEquals(result1.getTotalCount(), result2.getTotalCount()); Assert.assertEquals(result1.getNullCount(), result2.getNullCount()); Assert.assertEquals(result1.getMissingCount(), result2.getMissingCount()); Assert.assertEquals(result1.getNonMissingCount(), result2.getNonMissingCount()); Assert.assertEquals(result1.getInfinityCount(), result2.getInfinityCount()); Assert.assertEquals(result1.getNanCount(), result2.getNanCount()); Assert.assertEquals(result1.containsNull(), result2.containsNull()); Assert.assertEquals(result1.containsNonNull(), result2.containsNonNull()); Assert.assertEquals(result1.getMin().longValue(), result2.getMin().longValue()); Assert.assertEquals(result1.getMax().longValue(), result2.getMax().longValue()); Assert.assertEquals(result1.getSum().longValue(), result2.getSum().longValue()); Assert.assertEquals(result1.getMean().doubleValue(), result2.getMean().doubleValue(), 1e-12d); Assert.assertEquals(result1.getVariance().doubleValue(), result2.getVariance().doubleValue(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation().doubleValue(), result2.getStandardDeviation().doubleValue(), 1e-12d); } }.summarize(values); }
Example #10
Source File: NumericSummaryAggregator.java From flink with Apache License 2.0 | 6 votes |
@Override public NumericColumnSummary<T> result() { Double variance = null; if (nonMissingCount > 1) { variance = m2.value() / (nonMissingCount - 1); } return new NumericColumnSummary<T>( nonMissingCount, nullCount, nanCount, infinityCount, // if nonMissingCount was zero some fields should be undefined nonMissingCount == 0 ? null : min.result(), nonMissingCount == 0 ? null : max.result(), nonMissingCount == 0 ? null : sum.result(), nonMissingCount == 0 ? null : mean.value(), variance, variance == null ? null : Math.sqrt(variance) // standard deviation ); }
Example #11
Source File: DoubleValueSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating and combining * a bunch of different ways. */ protected NumericColumnSummary<Double> summarize(Double... values) { DoubleValue[] doubleValues = new DoubleValue[values.length]; for (int i = 0; i < values.length; i++) { if (values[i] != null) { doubleValues[i] = new DoubleValue(values[i]); } } return new AggregateCombineHarness<DoubleValue, NumericColumnSummary<Double>, ValueSummaryAggregator.DoubleValueSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Double> result1, NumericColumnSummary<Double> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-12d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-12d); } }.summarize(doubleValues); }
Example #12
Source File: DoubleSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetYValues() throws Exception { final Double[] q1y = { 8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68 }; final Double[] q2y = { 9.14, 8.14, 8.74, 8.77, 9.26, 8.1, 6.13, 3.1, 9.13, 7.26, 4.74 }; final Double[] q3y = { 7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73 }; final Double[] q4y = { 6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.5, 5.56, 7.91, 6.89 }; NumericColumnSummary<Double> q1 = summarize(q1y); NumericColumnSummary<Double> q2 = summarize(q2y); NumericColumnSummary<Double> q3 = summarize(q3y); NumericColumnSummary<Double> q4 = summarize(q4y); // the y values are have less precisely matching means and variances Assert.assertEquals(7.5, q1.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q2.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q3.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q4.getMean().doubleValue(), 0.001); Assert.assertEquals(4.12, q1.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q2.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q3.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q4.getVariance().doubleValue(), 0.01); }
Example #13
Source File: FloatValueSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating * and combining a bunch of different ways. */ @Override protected NumericColumnSummary<Float> summarize(Float... values) { FloatValue[] floatValues = new FloatValue[values.length]; for (int i = 0; i < values.length; i++) { if (values[i] != null) { floatValues[i] = new FloatValue(values[i]); } } return new AggregateCombineHarness<FloatValue, NumericColumnSummary<Float>, ValueSummaryAggregator.FloatValueSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Float> result1, NumericColumnSummary<Float> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0f); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0f); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-10d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-10d); } }.summarize(floatValues); }
Example #14
Source File: FloatSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetXValues() throws Exception { final Float[] q1x = { 10.0f, 8.0f, 13.0f, 9.0f, 11.0f, 14.0f, 6.0f, 4.0f, 12.0f, 7.0f, 5.0f }; final Float[] q4x = { 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 19.0f, 8.0f, 8.0f, 8.0f }; NumericColumnSummary<Float> q1 = summarize(q1x); NumericColumnSummary<Float> q4 = summarize(q4x); Assert.assertEquals(9.0, q1.getMean().doubleValue(), 0.0f); Assert.assertEquals(9.0, q4.getMean().doubleValue(), 0.0f); Assert.assertEquals(11.0, q1.getVariance().doubleValue(), 1e-10d); Assert.assertEquals(11.0, q4.getVariance().doubleValue(), 1e-10d); double stddev = Math.sqrt(11.0f); Assert.assertEquals(stddev, q1.getStandardDeviation().doubleValue(), 1e-10d); Assert.assertEquals(stddev, q4.getStandardDeviation().doubleValue(), 1e-10d); }
Example #15
Source File: FloatSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetYValues() throws Exception { final Float[] q1y = { 8.04f, 6.95f, 7.58f, 8.81f, 8.33f, 9.96f, 7.24f, 4.26f, 10.84f, 4.82f, 5.68f }; final Float[] q2y = { 9.14f, 8.14f, 8.74f, 8.77f, 9.26f, 8.1f, 6.13f, 3.1f, 9.13f, 7.26f, 4.74f }; final Float[] q3y = { 7.46f, 6.77f, 12.74f, 7.11f, 7.81f, 8.84f, 6.08f, 5.39f, 8.15f, 6.42f, 5.73f }; final Float[] q4y = { 6.58f, 5.76f, 7.71f, 8.84f, 8.47f, 7.04f, 5.25f, 12.5f, 5.56f, 7.91f, 6.89f }; NumericColumnSummary<Float> q1 = summarize(q1y); NumericColumnSummary<Float> q2 = summarize(q2y); NumericColumnSummary<Float> q3 = summarize(q3y); NumericColumnSummary<Float> q4 = summarize(q4y); // the y values are have less precisely matching means and variances Assert.assertEquals(7.5, q1.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q2.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q3.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q4.getMean().doubleValue(), 0.001); Assert.assertEquals(4.12, q1.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q2.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q3.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q4.getVariance().doubleValue(), 0.01); }
Example #16
Source File: DoubleSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetXValues() throws Exception { final Double[] q1x = { 10.0, 8.0, 13.0, 9.0, 11.0, 14.0, 6.0, 4.0, 12.0, 7.0, 5.0 }; final Double[] q4x = { 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 19.0, 8.0, 8.0, 8.0 }; NumericColumnSummary<Double> q1 = summarize(q1x); NumericColumnSummary<Double> q4 = summarize(q4x); Assert.assertEquals(9.0, q1.getMean().doubleValue(), 0.0); Assert.assertEquals(9.0, q4.getMean().doubleValue(), 0.0); Assert.assertEquals(11.0, q1.getVariance().doubleValue(), 1e-10d); Assert.assertEquals(11.0, q4.getVariance().doubleValue(), 1e-10d); double stddev = Math.sqrt(11.0); Assert.assertEquals(stddev, q1.getStandardDeviation().doubleValue(), 1e-10d); Assert.assertEquals(stddev, q4.getStandardDeviation().doubleValue(), 1e-10d); }
Example #17
Source File: FloatSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating * and combining a bunch of different ways. */ protected NumericColumnSummary<Float> summarize(Float... values) { return new AggregateCombineHarness<Float, NumericColumnSummary<Float>, FloatSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Float> result1, NumericColumnSummary<Float> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0f); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0f); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-12d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-12d); } }.summarize(values); }
Example #18
Source File: FloatSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetYValues() throws Exception { final Float[] q1y = { 8.04f, 6.95f, 7.58f, 8.81f, 8.33f, 9.96f, 7.24f, 4.26f, 10.84f, 4.82f, 5.68f }; final Float[] q2y = { 9.14f, 8.14f, 8.74f, 8.77f, 9.26f, 8.1f, 6.13f, 3.1f, 9.13f, 7.26f, 4.74f }; final Float[] q3y = { 7.46f, 6.77f, 12.74f, 7.11f, 7.81f, 8.84f, 6.08f, 5.39f, 8.15f, 6.42f, 5.73f }; final Float[] q4y = { 6.58f, 5.76f, 7.71f, 8.84f, 8.47f, 7.04f, 5.25f, 12.5f, 5.56f, 7.91f, 6.89f }; NumericColumnSummary<Float> q1 = summarize(q1y); NumericColumnSummary<Float> q2 = summarize(q2y); NumericColumnSummary<Float> q3 = summarize(q3y); NumericColumnSummary<Float> q4 = summarize(q4y); // the y values are have less precisely matching means and variances Assert.assertEquals(7.5, q1.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q2.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q3.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q4.getMean().doubleValue(), 0.001); Assert.assertEquals(4.12, q1.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q2.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q3.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q4.getVariance().doubleValue(), 0.01); }
Example #19
Source File: FloatSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetXValues() throws Exception { final Float[] q1x = { 10.0f, 8.0f, 13.0f, 9.0f, 11.0f, 14.0f, 6.0f, 4.0f, 12.0f, 7.0f, 5.0f }; final Float[] q4x = { 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, 19.0f, 8.0f, 8.0f, 8.0f }; NumericColumnSummary<Float> q1 = summarize(q1x); NumericColumnSummary<Float> q4 = summarize(q4x); Assert.assertEquals(9.0, q1.getMean().doubleValue(), 0.0f); Assert.assertEquals(9.0, q4.getMean().doubleValue(), 0.0f); Assert.assertEquals(11.0, q1.getVariance().doubleValue(), 1e-10d); Assert.assertEquals(11.0, q4.getVariance().doubleValue(), 1e-10d); double stddev = Math.sqrt(11.0f); Assert.assertEquals(stddev, q1.getStandardDeviation().doubleValue(), 1e-10d); Assert.assertEquals(stddev, q4.getStandardDeviation().doubleValue(), 1e-10d); }
Example #20
Source File: FloatValueSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating * and combining a bunch of different ways. */ @Override protected NumericColumnSummary<Float> summarize(Float... values) { FloatValue[] floatValues = new FloatValue[values.length]; for (int i = 0; i < values.length; i++) { if (values[i] != null) { floatValues[i] = new FloatValue(values[i]); } } return new AggregateCombineHarness<FloatValue, NumericColumnSummary<Float>, ValueSummaryAggregator.FloatValueSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Float> result1, NumericColumnSummary<Float> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0f); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0f); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-10d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-10d); } }.summarize(floatValues); }
Example #21
Source File: FloatSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating * and combining a bunch of different ways. */ protected NumericColumnSummary<Float> summarize(Float... values) { return new AggregateCombineHarness<Float, NumericColumnSummary<Float>, FloatSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Float> result1, NumericColumnSummary<Float> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0f); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0f); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-12d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-12d); } }.summarize(values); }
Example #22
Source File: DoubleValueSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. * * <p>This method breaks the rule of "testing only one thing" by aggregating and combining * a bunch of different ways. */ protected NumericColumnSummary<Double> summarize(Double... values) { DoubleValue[] doubleValues = new DoubleValue[values.length]; for (int i = 0; i < values.length; i++) { if (values[i] != null) { doubleValues[i] = new DoubleValue(values[i]); } } return new AggregateCombineHarness<DoubleValue, NumericColumnSummary<Double>, ValueSummaryAggregator.DoubleValueSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Double> result1, NumericColumnSummary<Double> result2) { Assert.assertEquals(result1.getMin(), result2.getMin(), 0.0); Assert.assertEquals(result1.getMax(), result2.getMax(), 0.0); Assert.assertEquals(result1.getMean(), result2.getMean(), 1e-12d); Assert.assertEquals(result1.getVariance(), result2.getVariance(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation(), result2.getStandardDeviation(), 1e-12d); } }.summarize(doubleValues); }
Example #23
Source File: DoubleSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetXValues() throws Exception { final Double[] q1x = { 10.0, 8.0, 13.0, 9.0, 11.0, 14.0, 6.0, 4.0, 12.0, 7.0, 5.0 }; final Double[] q4x = { 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 19.0, 8.0, 8.0, 8.0 }; NumericColumnSummary<Double> q1 = summarize(q1x); NumericColumnSummary<Double> q4 = summarize(q4x); Assert.assertEquals(9.0, q1.getMean().doubleValue(), 0.0); Assert.assertEquals(9.0, q4.getMean().doubleValue(), 0.0); Assert.assertEquals(11.0, q1.getVariance().doubleValue(), 1e-10d); Assert.assertEquals(11.0, q4.getVariance().doubleValue(), 1e-10d); double stddev = Math.sqrt(11.0); Assert.assertEquals(stddev, q1.getStandardDeviation().doubleValue(), 1e-10d); Assert.assertEquals(stddev, q4.getStandardDeviation().doubleValue(), 1e-10d); }
Example #24
Source File: DoubleSummaryAggregatorTest.java From flink with Apache License 2.0 | 6 votes |
/** * Use some values from Anscombe's Quartet for testing. * * <p>There was no particular reason to use these except they have known means and variance. * * <p>https://en.wikipedia.org/wiki/Anscombe%27s_quartet */ @Test public void testAnscomesQuartetYValues() throws Exception { final Double[] q1y = { 8.04, 6.95, 7.58, 8.81, 8.33, 9.96, 7.24, 4.26, 10.84, 4.82, 5.68 }; final Double[] q2y = { 9.14, 8.14, 8.74, 8.77, 9.26, 8.1, 6.13, 3.1, 9.13, 7.26, 4.74 }; final Double[] q3y = { 7.46, 6.77, 12.74, 7.11, 7.81, 8.84, 6.08, 5.39, 8.15, 6.42, 5.73 }; final Double[] q4y = { 6.58, 5.76, 7.71, 8.84, 8.47, 7.04, 5.25, 12.5, 5.56, 7.91, 6.89 }; NumericColumnSummary<Double> q1 = summarize(q1y); NumericColumnSummary<Double> q2 = summarize(q2y); NumericColumnSummary<Double> q3 = summarize(q3y); NumericColumnSummary<Double> q4 = summarize(q4y); // the y values are have less precisely matching means and variances Assert.assertEquals(7.5, q1.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q2.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q3.getMean().doubleValue(), 0.001); Assert.assertEquals(7.5, q4.getMean().doubleValue(), 0.001); Assert.assertEquals(4.12, q1.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q2.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q3.getVariance().doubleValue(), 0.01); Assert.assertEquals(4.12, q4.getVariance().doubleValue(), 0.01); }
Example #25
Source File: NumericSummaryAggregator.java From flink with Apache License 2.0 | 6 votes |
@Override public NumericColumnSummary<T> result() { Double variance = null; if (nonMissingCount > 1) { variance = m2.value() / (nonMissingCount - 1); } return new NumericColumnSummary<T>( nonMissingCount, nullCount, nanCount, infinityCount, // if nonMissingCount was zero some fields should be undefined nonMissingCount == 0 ? null : min.result(), nonMissingCount == 0 ? null : max.result(), nonMissingCount == 0 ? null : sum.result(), nonMissingCount == 0 ? null : mean.value(), variance, variance == null ? null : Math.sqrt(variance) // standard deviation ); }
Example #26
Source File: LongSummaryAggregatorTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
/** * Helper method for summarizing a list of values. */ protected NumericColumnSummary<Long> summarize(Long... values) { return new AggregateCombineHarness<Long, NumericColumnSummary<Long>, LongSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Long> result1, NumericColumnSummary<Long> result2) { Assert.assertEquals(result1.getTotalCount(), result2.getTotalCount()); Assert.assertEquals(result1.getNullCount(), result2.getNullCount()); Assert.assertEquals(result1.getMissingCount(), result2.getMissingCount()); Assert.assertEquals(result1.getNonMissingCount(), result2.getNonMissingCount()); Assert.assertEquals(result1.getInfinityCount(), result2.getInfinityCount()); Assert.assertEquals(result1.getNanCount(), result2.getNanCount()); Assert.assertEquals(result1.containsNull(), result2.containsNull()); Assert.assertEquals(result1.containsNonNull(), result2.containsNonNull()); Assert.assertEquals(result1.getMin().longValue(), result2.getMin().longValue()); Assert.assertEquals(result1.getMax().longValue(), result2.getMax().longValue()); Assert.assertEquals(result1.getSum().longValue(), result2.getSum().longValue()); Assert.assertEquals(result1.getMean().doubleValue(), result2.getMean().doubleValue(), 1e-12d); Assert.assertEquals(result1.getVariance().doubleValue(), result2.getVariance().doubleValue(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation().doubleValue(), result2.getStandardDeviation().doubleValue(), 1e-12d); } }.summarize(values); }
Example #27
Source File: NumericSummaryAggregator.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@Override public NumericColumnSummary<T> result() { Double variance = null; if (nonMissingCount > 1) { variance = m2.value() / (nonMissingCount - 1); } return new NumericColumnSummary<T>( nonMissingCount, nullCount, nanCount, infinityCount, // if nonMissingCount was zero some fields should be undefined nonMissingCount == 0 ? null : min.result(), nonMissingCount == 0 ? null : max.result(), nonMissingCount == 0 ? null : sum.result(), nonMissingCount == 0 ? null : mean.value(), variance, variance == null ? null : Math.sqrt(variance) // standard deviation ); }
Example #28
Source File: NumericSummaryAggregator.java From flink with Apache License 2.0 | 5 votes |
/** * combine two aggregations. */ @Override public void combine(Aggregator<T, NumericColumnSummary<T>> otherSameType) { NumericSummaryAggregator<T> other = (NumericSummaryAggregator<T>) otherSameType; nullCount += other.nullCount; nanCount += other.nanCount; infinityCount += other.infinityCount; if (nonMissingCount == 0) { nonMissingCount = other.nonMissingCount; min = other.min; max = other.max; sum = other.sum; mean = other.mean; m2 = other.m2; } else if (other.nonMissingCount != 0) { long combinedCount = nonMissingCount + other.nonMissingCount; min.combine(other.min); max.combine(other.max); sum.combine(other.sum); double deltaMean = other.mean.value() - mean.value(); mean = mean.add(deltaMean * other.nonMissingCount / combinedCount); m2 = m2.add(other.m2).add(deltaMean * deltaMean * nonMissingCount * other.nonMissingCount / combinedCount); nonMissingCount = combinedCount; } }
Example #29
Source File: LongValueSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
/** * Helper method for summarizing a list of values. */ @Override protected NumericColumnSummary<Long> summarize(Long... values) { LongValue[] longValues = new LongValue[values.length]; for (int i = 0; i < values.length; i++) { if (values[i] != null) { longValues[i] = new LongValue(values[i]); } } return new AggregateCombineHarness<LongValue, NumericColumnSummary<Long>, ValueSummaryAggregator.LongValueSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Long> result1, NumericColumnSummary<Long> result2) { Assert.assertEquals(result1.getTotalCount(), result2.getTotalCount()); Assert.assertEquals(result1.getNullCount(), result2.getNullCount()); Assert.assertEquals(result1.getMissingCount(), result2.getMissingCount()); Assert.assertEquals(result1.getNonMissingCount(), result2.getNonMissingCount()); Assert.assertEquals(result1.getInfinityCount(), result2.getInfinityCount()); Assert.assertEquals(result1.getNanCount(), result2.getNanCount()); Assert.assertEquals(result1.containsNull(), result2.containsNull()); Assert.assertEquals(result1.containsNonNull(), result2.containsNonNull()); Assert.assertEquals(result1.getMin().longValue(), result2.getMin().longValue()); Assert.assertEquals(result1.getMax().longValue(), result2.getMax().longValue()); Assert.assertEquals(result1.getSum().longValue(), result2.getSum().longValue()); Assert.assertEquals(result1.getMean().doubleValue(), result2.getMean().doubleValue(), 1e-12d); Assert.assertEquals(result1.getVariance().doubleValue(), result2.getVariance().doubleValue(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation().doubleValue(), result2.getStandardDeviation().doubleValue(), 1e-12d); } }.summarize(longValues); }
Example #30
Source File: ShortSummaryAggregatorTest.java From flink with Apache License 2.0 | 5 votes |
/** * Helper method for summarizing a list of values. */ protected NumericColumnSummary<Short> summarize(Integer... values) { // cast everything to short here Short[] shortValues = new Short[values.length]; for (int i = 0; i < values.length; i++) { if (values[i] != null) { shortValues[i] = values[i].shortValue(); } } return new AggregateCombineHarness<Short, NumericColumnSummary<Short>, ShortSummaryAggregator>() { @Override protected void compareResults(NumericColumnSummary<Short> result1, NumericColumnSummary<Short> result2) { Assert.assertEquals(result1.getTotalCount(), result2.getTotalCount()); Assert.assertEquals(result1.getNullCount(), result2.getNullCount()); Assert.assertEquals(result1.getMissingCount(), result2.getMissingCount()); Assert.assertEquals(result1.getNonMissingCount(), result2.getNonMissingCount()); Assert.assertEquals(result1.getInfinityCount(), result2.getInfinityCount()); Assert.assertEquals(result1.getNanCount(), result2.getNanCount()); Assert.assertEquals(result1.containsNull(), result2.containsNull()); Assert.assertEquals(result1.containsNonNull(), result2.containsNonNull()); Assert.assertEquals(result1.getMin().shortValue(), result2.getMin().shortValue()); Assert.assertEquals(result1.getMax().shortValue(), result2.getMax().shortValue()); Assert.assertEquals(result1.getSum().shortValue(), result2.getSum().shortValue()); Assert.assertEquals(result1.getMean().doubleValue(), result2.getMean().doubleValue(), 1e-12d); Assert.assertEquals(result1.getVariance().doubleValue(), result2.getVariance().doubleValue(), 1e-9d); Assert.assertEquals(result1.getStandardDeviation().doubleValue(), result2.getStandardDeviation().doubleValue(), 1e-12d); } }.summarize(shortValues); }