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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 26 12:43:10 GMT 2024 - Last Modified: Mon Oct 10 19:45:10 GMT 2022 - 3.1K 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 26 12:43:10 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) -
android/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 26 12:43:10 GMT 2024 - Last Modified: Tue Feb 01 16:30:37 GMT 2022 - 7.1K 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());
Java - Registered: Fri Apr 12 12:43:09 GMT 2024 - Last Modified: Mon Dec 04 17:37:03 GMT 2017 - 3.4K 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() {
Java - Registered: Fri Apr 26 12:43:10 GMT 2024 - Last Modified: Fri May 14 22:05:11 GMT 2021 - 4.3K 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() {
Java - Registered: Fri Apr 19 12:43:09 GMT 2024 - Last Modified: Fri May 14 22:05:11 GMT 2021 - 4.3K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-converter-issue.md
#### Option A: Reference colab notebooks 1) Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 15 03:35:58 GMT 2022 - 2.1K 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.
Plain Text - Registered: Sun Apr 28 19:28:10 GMT 2024 - Last Modified: Tue Apr 04 19:15:28 GMT 2023 - 7.6K bytes - Viewed (0)