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android/guava-tests/test/com/google/common/math/PairedStatsTest.java
if (values.hasAnyNonFinite()) { assertWithMessage("Pearson's correlation coefficient of %s", values) .that(pearsonsCorrelationCoefficient) .isNaN(); } else { assertWithMessage("Pearson's correlation coefficient of %s", values) .that(pearsonsCorrelationCoefficient) .isWithin(ALLOWED_ERROR) .of(
Created: Fri Apr 03 12:43:13 GMT 2026 - Last Modified: Tue Mar 17 16:11:48 GMT 2026 - 14.1K bytes - Click Count (0) -
guava-tests/test/com/google/common/math/PairedStatsTest.java
if (values.hasAnyNonFinite()) { assertWithMessage("Pearson's correlation coefficient of %s", values) .that(pearsonsCorrelationCoefficient) .isNaN(); } else { assertWithMessage("Pearson's correlation coefficient of %s", values) .that(pearsonsCorrelationCoefficient) .isWithin(ALLOWED_ERROR) .of(
Created: Fri Apr 03 12:43:13 GMT 2026 - Last Modified: Tue Mar 17 16:11:48 GMT 2026 - 14.1K bytes - Click Count (0) -
guava-tests/test/com/google/common/collect/Collections2Test.java
.size()); // Almost force an overflow in the binomial coefficient calculation assertEquals( 1391975640 /*C(34,14)*/, Collections2.orderedPermutations(concat(nCopies(20, 1), nCopies(14, 2))).size()); // Do force an overflow in the binomial coefficient calculation assertEquals( Integer.MAX_VALUE,
Created: Fri Apr 03 12:43:13 GMT 2026 - Last Modified: Thu Mar 12 17:47:10 GMT 2026 - 20.1K bytes - Click Count (0) -
android/guava-tests/test/com/google/common/collect/Collections2Test.java
.size()); // Almost force an overflow in the binomial coefficient calculation assertEquals( 1391975640 /*C(34,14)*/, Collections2.orderedPermutations(concat(nCopies(20, 1), nCopies(14, 2))).size()); // Do force an overflow in the binomial coefficient calculation assertEquals( Integer.MAX_VALUE,
Created: Fri Apr 03 12:43:13 GMT 2026 - Last Modified: Thu Mar 12 17:47:10 GMT 2026 - 20.1K bytes - Click Count (0) -
RELEASE.md
`tf.contrib.data.sloppy_interleave()`. * Add `train_and_evaluate` for simple distributed `Estimator` training. * Add `tf.spectral.dct` for computing the DCT-II. * Add Mel-Frequency Cepstral Coefficient support to `tf.contrib.signal` (with GPU and gradient support). * Add a self-check on `import tensorflow` for Windows DLL issues. * Add NCHW support to `tf.depth_to_space` on GPU.
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 18:31:38 GMT 2026 - 746.5K bytes - Click Count (3)