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android/guava/src/com/google/common/math/Quantiles.java
* * @param dataset the dataset to do the calculation on, which must be non-empty, and which will * be arbitrarily reordered by this method call * @return the quantile value */ public double computeInPlace(double... dataset) { checkArgument(dataset.length > 0, "Cannot calculate quantiles of an empty dataset"); if (containsNaN(dataset)) {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 29.9K bytes - Viewed (0) -
guava/src/com/google/common/math/PairedStats.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
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 12.6K bytes - Viewed (0) -
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());
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Mon Dec 04 17:37:03 UTC 2017 - 3.4K bytes - Viewed (0) -
src/test/java/org/codelibs/fess/helper/ActivityHelperTest.java
activityHelper.login(OptionalThing.empty()); assertEquals( "{\"@timestamp\":\"2022-01-01T00:00:00.000Z\",\"log.level\":\"INFO\",\"ecs.version\":\"1.2.0\",\"service.name\":\"fess\",\"event.dataset\":\"app\",\"process.thread.name\":\"main\",\"log.logger\":\"org.codelibs.fess.helper.ActivityHelperTest$1\",\"labels.action\":\"LOGIN\",\"labels.user\":\"-\",\"labels.permissions\":\"-\"}", localLogMsg.get());
Registered: Thu Oct 31 13:40:30 UTC 2024 - Last Modified: Thu Feb 22 01:37:57 UTC 2024 - 14.1K bytes - Viewed (0) -
guava-tests/benchmark/com/google/common/base/ToStringHelperBenchmark.java
.add(SHORT_NAME, 13.0f) .add(LONG_NAME, 14.0f) .addValue(15.0f); } }; void addEntries(MoreObjects.ToStringHelper helper) {} } @Param Dataset dataset; private static final String SHORT_NAME = "userId"; private static final String LONG_NAME = "fluxCapacitorFailureRate95Percentile"; private MoreObjects.ToStringHelper newHelper() {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Mon Jun 10 19:21:11 UTC 2024 - 4.3K bytes - Viewed (0) -
android/guava-tests/benchmark/com/google/common/base/ToStringHelperBenchmark.java
.add(SHORT_NAME, 13.0f) .add(LONG_NAME, 14.0f) .addValue(15.0f); } }; void addEntries(MoreObjects.ToStringHelper helper) {} } @Param Dataset dataset; private static final String SHORT_NAME = "userId"; private static final String LONG_NAME = "fluxCapacitorFailureRate95Percentile"; private MoreObjects.ToStringHelper newHelper() {
Registered: Fri Nov 01 12:43:10 UTC 2024 - Last Modified: Mon Jun 10 19:21:11 UTC 2024 - 4.3K 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).
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Oct 22 14:33:53 UTC 2024 - 735.3K bytes - Viewed (0) -
docs/lambda/README.md
MinIO's Object Lambda implementation allows for transforming your data to serve unique data format requirements for each application. For example, a dataset created by an ecommerce application might include personally identifiable information (PII). When the same data is processed for analytics, PII should be redacted. However, if the same dataset is used for a marketing campaign, you might need to enrich the data with additional details, such as information from the customer loyalty database.
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Tue Apr 04 19:15:28 UTC 2023 - 7.6K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/helper/ActivityHelper.java
buf.append(",\"log.level\":\"INFO\""); buf.append(",\"ecs.version\":\"").append(ecsVersion).append('"'); buf.append(",\"service.name\":\"").append(ecsServiceName).append('"'); buf.append(",\"event.dataset\":\"").append(ecsEventDataset).append('"'); buf.append(",\"process.thread.name\":\"").append(StringEscapeUtils.escapeJson(Thread.currentThread().getName())).append('"');
Registered: Thu Oct 31 13:40:30 UTC 2024 - Last Modified: Thu Feb 22 01:53:18 UTC 2024 - 7.7K bytes - Viewed (0) -
docs/bigdata/README.md
### **4.2 WordCount** WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file. The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input. - Login as user **‘spark’**.
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Thu Sep 29 04:28:45 UTC 2022 - 14.7K bytes - Viewed (0)