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guava-tests/benchmark/com/google/common/math/QuantilesBenchmark.java
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Mon Oct 10 19:45:10 GMT 2022 - 3.1K bytes - Viewed (0) -
android/guava-tests/benchmark/com/google/common/math/QuantilesBenchmark.java
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Mon Oct 10 19:45:10 GMT 2022 - 3.1K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/QuantilesTest.java
// quite expensive (quadratic in the size of PSEUDORANDOM_DATASET). double[] dataset = Doubles.toArray(PSEUDORANDOM_DATASET); @SuppressWarnings("unused") double actual = percentiles().index(33).computeInPlace(dataset); assertThat(dataset).usingExactEquality().containsExactlyElementsIn(PSEUDORANDOM_DATASET); } public void testPercentiles_indexes_varargsPairs_compute_doubleCollection() {
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 29.7K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/QuantilesTest.java
// quite expensive (quadratic in the size of PSEUDORANDOM_DATASET). double[] dataset = Doubles.toArray(PSEUDORANDOM_DATASET); @SuppressWarnings("unused") double actual = percentiles().index(33).computeInPlace(dataset); assertThat(dataset).usingExactEquality().containsExactlyElementsIn(PSEUDORANDOM_DATASET); } public void testPercentiles_indexes_varargsPairs_compute_doubleCollection() {
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Wed Sep 06 17:04:31 GMT 2023 - 29.7K bytes - Viewed (0) -
android/guava/src/com/google/common/math/PairedStatsAccumulator.java
* * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It * is not guaranteed to return zero when the dataset consists of the same pair of values multiple * times, due to numerical errors. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Fri May 12 17:02:53 GMT 2023 - 10.3K bytes - Viewed (0) -
RELEASE.md
* `tf.data` * `tf.data.Dataset.zip` now supports Python-style zipping, i.e. `Dataset.zip(a, b, c)`. * `tf.data.Dataset.shuffle` now supports `tf.data.UNKNOWN_CARDINALITY` When doing a "full shuffle" using `dataset = dataset.shuffle(dataset.cardinality())`. But remember, a "full shuffle" will load the full dataset into memory so that it can be shuffled, so make sure to only use this with small datasets or datasets of small objects (like filenames).
Plain Text - Registered: Tue Apr 16 12:39:09 GMT 2024 - Last Modified: Wed Apr 03 20:27:38 GMT 2024 - 727.4K bytes - Viewed (8) -
android/guava/src/com/google/common/math/StatsAccumulator.java
* * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It * is not guaranteed to return zero when the dataset consists of the same value multiple times, * due to numerical errors. However, it is guaranteed never to return a negative result. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Fri May 12 17:02:53 GMT 2023 - 14.2K bytes - Viewed (0) -
android/guava/src/com/google/common/math/Stats.java
* * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It * is not guaranteed to return zero when the dataset consists of the same value multiple times, * due to numerical errors. However, it is guaranteed never to return a negative result. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Thu Feb 15 16:12:13 GMT 2024 - 22K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/QuantilesAlgorithmTest.java
private double[] dataset; @Override protected void setUp() { dataset = new double[DATASET_SIZE]; for (int i = 0; i < DATASET_SIZE; i++) { dataset[i] = RNG.nextDouble(); } } public void testSingleQuantile_median() { double referenceValue = REFERENCE_ALGORITHM.singleQuantile(1, 2, dataset.clone());
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Mon Dec 04 17:37:03 GMT 2017 - 3.4K bytes - Viewed (0) -
guava-tests/test/com/google/common/math/QuantilesAlgorithm.java
@Override double singleQuantile(int index, int scale, double[] dataset) { Arrays.sort(dataset); return singleQuantileFromSorted(index, scale, dataset); } @Override Map<Integer, Double> multipleQuantiles( Collection<Integer> indexes, int scale, double[] dataset) { Arrays.sort(dataset); ImmutableMap.Builder<Integer, Double> builder = ImmutableMap.builder();
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Tue Feb 01 16:30:37 GMT 2022 - 7.1K bytes - Viewed (0)