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Results 1 - 10 of 12 for populationCovariance (0.21 sec)

  1. android/guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationCovariance());
        assertThrows(
            IllegalStateException.class,
            () -> emptyAccumulatorByAddAllEmptyPairedStats.populationCovariance());
        assertThat(oneValueAccumulator.populationCovariance()).isEqualTo(0.0);
        assertThat(oneValueAccumulatorByAddAllEmptyPairedStats.populationCovariance()).isEqualTo(0.0);
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Jul 03 21:17:33 UTC 2024
    - 23.3K bytes
    - Viewed (0)
  2. guava-tests/test/com/google/common/math/PairedStatsAccumulatorTest.java

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationCovariance());
        assertThrows(
            IllegalStateException.class,
            () -> emptyAccumulatorByAddAllEmptyPairedStats.populationCovariance());
        assertThat(oneValueAccumulator.populationCovariance()).isEqualTo(0.0);
        assertThat(oneValueAccumulatorByAddAllEmptyPairedStats.populationCovariance()).isEqualTo(0.0);
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Jul 03 21:17:33 UTC 2024
    - 23.3K bytes
    - Viewed (0)
  3. guava-tests/test/com/google/common/math/PairedStatsTest.java

        assertThat(ONE_VALUE_PAIRED_STATS.populationCovariance()).isEqualTo(0.0);
        assertThat(createSingleStats(Double.POSITIVE_INFINITY, 1.23).populationCovariance()).isNaN();
        assertThat(createSingleStats(Double.NEGATIVE_INFINITY, 1.23).populationCovariance()).isNaN();
        assertThat(createSingleStats(Double.NaN, 1.23).populationCovariance()).isNaN();
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Jul 03 21:17:33 UTC 2024
    - 14K bytes
    - Viewed (0)
  4. guava/src/com/google/common/math/PairedStats.java

      @Override
      public String toString() {
        if (count() > 0) {
          return MoreObjects.toStringHelper(this)
              .add("xStats", xStats)
              .add("yStats", yStats)
              .add("populationCovariance", populationCovariance())
              .toString();
        } else {
          return MoreObjects.toStringHelper(this)
              .add("xStats", xStats)
              .add("yStats", yStats)
              .toString();
        }
      }
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Fri May 12 17:02:53 UTC 2023
    - 12.6K bytes
    - Viewed (0)
  5. android/guava/src/com/google/common/math/PairedStats.java

      @Override
      public String toString() {
        if (count() > 0) {
          return MoreObjects.toStringHelper(this)
              .add("xStats", xStats)
              .add("yStats", yStats)
              .add("populationCovariance", populationCovariance())
              .toString();
        } else {
          return MoreObjects.toStringHelper(this)
              .add("xStats", xStats)
              .add("yStats", yStats)
              .toString();
        }
      }
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Fri May 12 17:02:53 UTC 2023
    - 12.6K bytes
    - Viewed (0)
  6. guava/src/com/google/common/math/PairedStatsAccumulator.java

       * product-moment correlation coefficient</a> of the values. The count must greater than one, and
       * the {@code x} and {@code y} values must both have non-zero population variance (i.e. {@code
       * xStats().populationVariance() > 0.0 && yStats().populationVariance() > 0.0}). The result is not
       * guaranteed to be exactly +/-1 even when the data are perfectly (anti-)correlated, due to
       * numerical errors. However, it is guaranteed to be in the inclusive range [-1, +1].
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Fri May 12 17:02:53 UTC 2023
    - 10.3K bytes
    - Viewed (0)
  7. android/guava/src/com/google/common/math/PairedStatsAccumulator.java

       * product-moment correlation coefficient</a> of the values. The count must greater than one, and
       * the {@code x} and {@code y} values must both have non-zero population variance (i.e. {@code
       * xStats().populationVariance() > 0.0 && yStats().populationVariance() > 0.0}). The result is not
       * guaranteed to be exactly +/-1 even when the data are perfectly (anti-)correlated, due to
       * numerical errors. However, it is guaranteed to be in the inclusive range [-1, +1].
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Fri May 12 17:02:53 UTC 2023
    - 10.3K bytes
    - Viewed (0)
  8. guava-tests/test/com/google/common/math/StatsTest.java

        assertThrows(IllegalStateException.class, () -> EMPTY_STATS_VARARGS.populationVariance());
        assertThrows(IllegalStateException.class, () -> EMPTY_STATS_ITERABLE.populationVariance());
        assertThat(ONE_VALUE_STATS.populationVariance()).isEqualTo(0.0);
        assertThat(Stats.of(POSITIVE_INFINITY).populationVariance()).isNaN();
        assertThat(Stats.of(NEGATIVE_INFINITY).populationVariance()).isNaN();
        assertThat(Stats.of(NaN).populationVariance()).isNaN();
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 23 16:45:30 UTC 2024
    - 33.3K bytes
    - Viewed (0)
  9. android/guava-tests/test/com/google/common/math/StatsAccumulatorTest.java

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationVariance());
        assertThrows(
            IllegalStateException.class,
            () -> emptyAccumulatorByAddAllEmptyIterable.populationVariance());
        assertThrows(
            IllegalStateException.class, () -> emptyAccumulatorByAddAllEmptyStats.populationVariance());
        assertThat(oneValueAccumulator.populationVariance()).isEqualTo(0.0);
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 23 16:45:30 UTC 2024
    - 36.8K bytes
    - Viewed (0)
  10. guava-tests/test/com/google/common/math/StatsAccumulatorTest.java

        assertThrows(IllegalStateException.class, () -> emptyAccumulator.populationVariance());
        assertThrows(
            IllegalStateException.class,
            () -> emptyAccumulatorByAddAllEmptyIterable.populationVariance());
        assertThrows(
            IllegalStateException.class, () -> emptyAccumulatorByAddAllEmptyStats.populationVariance());
        assertThat(oneValueAccumulator.populationVariance()).isEqualTo(0.0);
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Oct 23 16:45:30 UTC 2024
    - 36.8K bytes
    - Viewed (0)
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