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Results 1 - 7 of 7 for leastSquaresFit (0.12 sec)

  2. github.com/google/guava

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

      public void testLeastSquaresFit() {
    assertThrows(IllegalStateException.class, () -> emptyAccumulator.leastSquaresFit());
    assertThrows(
        IllegalStateException.class,
        () -> emptyAccumulatorByAddAllEmptyPairedStats.leastSquaresFit());
    assertThrows(IllegalStateException.class, () -> oneValueAccumulator.leastSquaresFit());
    assertThrows(
        IllegalStateException.class,
    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. github.com/google/guava

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

      public void testLeastSquaresFit() {
    assertThrows(IllegalStateException.class, () -> emptyAccumulator.leastSquaresFit());
    assertThrows(
        IllegalStateException.class,
        () -> emptyAccumulatorByAddAllEmptyPairedStats.leastSquaresFit());
    assertThrows(IllegalStateException.class, () -> oneValueAccumulator.leastSquaresFit());
    assertThrows(
        IllegalStateException.class,
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Jul 03 21:17:33 UTC 2024
    - 23.3K bytes
    - Viewed (0)
  4. github.com/google/guava

    guava-tests/test/com/google/common/math/PairedStatsTest.java 

        assertThrows(IllegalStateException.class, () -> ONE_VALUE_PAIRED_STATS.leastSquaresFit());
    assertThrows(
        IllegalStateException.class,
        () -> createSingleStats(Double.POSITIVE_INFINITY, 1.23).leastSquaresFit());
    assertDiagonalLinearTransformation(
        TWO_VALUES_PAIRED_STATS.leastSquaresFit(),
        TWO_VALUES_PAIRED_STATS.xStats().mean(),
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Wed Jul 03 21:17:33 UTC 2024
    - 14K bytes
    - Viewed (0)
  5. github.com/google/guava

    guava/src/com/google/common/math/PairedStatsAccumulator.java 

       * @throws IllegalStateException if the dataset is empty or contains a single pair of values, or
   *     both the {@code x} and {@code y} dataset have zero population variance
   */
  public final LinearTransformation leastSquaresFit() {
    checkState(count() > 1);
    if (isNaN(sumOfProductsOfDeltas)) {
      return LinearTransformation.forNaN();
    }
    double xSumOfSquaresOfDeltas = xStats.sumOfSquaresOfDeltas();
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Fri May 12 17:02:53 UTC 2023
    - 10.3K bytes
    - Viewed (0)
  6. github.com/google/guava

    guava/src/com/google/common/math/PairedStats.java 

       * @throws IllegalStateException if the dataset is empty or contains a single pair of values, or
   *     both the {@code x} and {@code y} dataset must have zero population variance
   */
  public LinearTransformation leastSquaresFit() {
    checkState(count() > 1);
    if (isNaN(sumOfProductsOfDeltas)) {
      return LinearTransformation.forNaN();
    }
    double xSumOfSquaresOfDeltas = xStats.sumOfSquaresOfDeltas();
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Fri May 12 17:02:53 UTC 2023
    - 12.6K bytes
    - Viewed (0)
  7. github.com/google/guava

    android/guava/src/com/google/common/math/PairedStatsAccumulator.java 

       * @throws IllegalStateException if the dataset is empty or contains a single pair of values, or
   *     both the {@code x} and {@code y} dataset have zero population variance
   */
  public final LinearTransformation leastSquaresFit() {
    checkState(count() > 1);
    if (isNaN(sumOfProductsOfDeltas)) {
      return LinearTransformation.forNaN();
    }
    double xSumOfSquaresOfDeltas = xStats.sumOfSquaresOfDeltas();
    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. github.com/google/guava

    android/guava/src/com/google/common/math/PairedStats.java 

       * @throws IllegalStateException if the dataset is empty or contains a single pair of values, or
   *     both the {@code x} and {@code y} dataset must have zero population variance
   */
  public LinearTransformation leastSquaresFit() {
    checkState(count() > 1);
    if (isNaN(sumOfProductsOfDeltas)) {
      return LinearTransformation.forNaN();
    }
    double xSumOfSquaresOfDeltas = xStats.sumOfSquaresOfDeltas();
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Fri May 12 17:02:53 UTC 2023
    - 12.6K bytes
    - Viewed (0)
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