| /external/tcpdump/tests/ |
| isis-extd-ipreach-oobr.out | 80 IPv6 prefix: 2aa3:88dd:a090:8ff::/91, Distribution: up, Metric: 28221769, Internal
81 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Internal
82 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Internal
83 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Internal
84 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Internal
85 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Internal
86 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Internal
87 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Internal
88 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Internal
89 IPv6 prefix: ::/0, Distribution: up, Metric: 0, Interna
[all...] |
| /external/llvm/utils/lit/utils/ |
| README.txt | 2 distribution.
|
| /external/pcre/dist2/ |
| COPYING | 3 Please see the file LICENCE in the PCRE2 distribution for licensing details.
|
| /external/tensorflow/tensorflow/tools/api/golden/ |
| tensorflow.distributions.pbtxt | 5 mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
9 mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
13 mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
17 mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
21 mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
24 name: "Distribution"
25 mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
29 mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>"
33 mtype: "<class \'tensorflow.python.ops.distributions.distribution.ReparameterizationType\'>"
37 mtype: "<class \'tensorflow.python.ops.distributions.distribution._DistributionMeta\'>
[all...] |
| /external/curl/packages/EPM/ |
| README | 1 EPM is a free Unix software/file packaging program that generates distribution
4 * Generate portable script-based distribution packages complete with
8 * Provide a complete, cross-platform software distribution solution for your
|
| /tools/tradefederation/core/res/jacoco/ |
| version.txt | 1 This is the distribution of version 0.7.7.201606060606 created on 2016/06/06 based on commit
|
| /external/eigen/doc/special_examples/ |
| random_cpp11.cpp | 9 std::poisson_distribution<int> distribution(4.1);
10 auto poisson = [&] () {return distribution(generator);};
|
| /external/tensorflow/tensorflow/core/kernels/ |
| random_op.h | 28 template <typename Device, class Distribution>
37 template <class Distribution>
38 struct FillPhiloxRandom<CPUDevice, Distribution> {
41 typename Distribution::ResultElementType* data, int64 size,
42 Distribution dist);
48 template <class Distribution>
49 struct FillPhiloxRandom<GPUDevice, Distribution> {
52 typename Distribution::ResultElementType* data, int64 size,
53 Distribution dist);
60 template <class Distribution>
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| independent.py | 15 """The Independent distribution class."""
30 from tensorflow.python.ops.distributions import distribution as distribution_lib
33 class Independent(distribution_lib.Distribution):
34 """Independent distribution from batch of distributions.
36 This distribution is useful for regarding a collection of independent,
38 `Indpendent` distribution composed of a collection of `Bernoulli`
39 distributions might define a distribution over an image (where each
40 `Bernoulli` is a distribution over each pixel).
48 Similarly, the `Independent` distribution specifies a distribution over `[B
148 def distribution(self): member in class:Independent
[all...] |
| /external/golang-protobuf/ |
| AUTHORS | 2 # The master list of authors is in the main Go distribution,
|
| CONTRIBUTORS | 2 # The master list of contributors is in the main Go distribution,
|
| /tools/test/connectivity/wts-acts/ |
| README | 2 with the wts-acts distribution, for use when running the Wear Test Suite.
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
| PascalDistribution.java | 17 package org.apache.commons.math.distribution;
20 * The Pascal distribution. The Pascal distribution is a special case of the
21 * Negative Binomial distribution where the number of successes parameter is an
24 * There are various ways to express the probability mass and distribution
25 * functions for the Pascal distribution. The convention employed by the
33 * Negative Binomial Distribution</a></li>
43 * Access the number of successes for this distribution.
50 * Access the probability of success for this distribution.
57 * Change the number of successes for this distribution
[all...] |
| PoissonDistribution.java | 17 package org.apache.commons.math.distribution;
22 * Interface representing the Poisson Distribution.
28 * Poisson distribution</a></li>
37 * Get the mean for the distribution.
39 * @return the mean for the distribution.
44 * Set the mean for the distribution.
56 * Calculates the Poisson distribution function using a normal approximation.
59 * @return the distribution function value calculated using a normal approximation
|
| BinomialDistribution.java | 17 package org.apache.commons.math.distribution;
20 * The Binomial Distribution.
26 * Binomial Distribution</a></li>
34 * Access the number of trials for this distribution.
40 * Access the probability of success for this distribution.
46 * Change the number of trials for this distribution.
54 * Change the probability of success for this distribution.
|
| CauchyDistribution.java | 18 package org.apache.commons.math.distribution;
21 * Cauchy Distribution.
27 * Cauchy Distribution</a></li>
38 * @return median for this distribution
44 * @return scale parameter for this distribution
50 * @param median for this distribution
58 * @param s scale parameter for this distribution
|
| NormalDistribution.java | 18 package org.apache.commons.math.distribution;
21 * Normal (Gauss) Distribution.
27 * Normal Distribution</a></li>
36 * @return mean for this distribution
41 * @param mean for this distribution
48 * @return standard deviation for this distribution
53 * @param sd standard deviation for this distribution
|
| Distribution.java | 17 package org.apache.commons.math.distribution;
26 public interface Distribution {
29 * to this distribution, this method returns P(X ≤ x). In other words,
30 * this method represents the (cumulative) distribution function, or
31 * CDF, for this distribution.
33 * @param x the value at which the distribution function is evaluated.
35 * distribution takes a value less than or equal to <code>x</code>
43 * to this distribution, this method returns P(x0 ≤ X ≤ x1).
47 * @return the probability that a random variable with this distribution
|
| /packages/inputmethods/LatinIME/native/jni/tests/suggest/core/layout/ |
| normal_distribution_2d_test.cpp | 33 const NormalDistribution2D distribution(ORIGIN_X, LARGE_STANDARD_DEVIATION, ORIGIN_Y,
38 // The probability density of the point near the distribution center is larger than the
39 // probability density of the point that is far from distribution center.
40 EXPECT_GE(distribution.getProbabilityDensity(SMALL_COORDINATE, SMALL_COORDINATE),
41 distribution.getProbabilityDensity(LARGE_COORDINATE, LARGE_COORDINATE));
45 EXPECT_GE(distribution.getProbabilityDensity(LARGE_COORDINATE, SMALL_COORDINATE),
46 distribution.getProbabilityDensity(SMALL_COORDINATE, LARGE_COORDINATE));
52 const NormalDistribution2D distribution(ORIGIN_X, LARGE_STANDARD_DEVIATION, ORIGIN_Y,
58 // The probability density of the rotated distribution at the point and the probability
59 // density of the original distribution at the rotated point are the same
[all...] |
| /prebuilts/tools/common/m2/repository/antlr/antlr/2.7.7/ |
| antlr-2.7.7.pom | 18 <distribution>repo</distribution>
|
| /external/iproute2/netem/ |
| pareto.c | 2 * Pareto distribution table generator
23 printf("# This is the distribution table for the pareto distribution.\n");
|
| /prebuilts/tools/common/m2/repository/javax/annotation/jsr250-api/1.0/ |
| jsr250-api-1.0.pom | 15 <name>COMMON DEVELOPMENT AND DISTRIBUTION LICENSE (CDDL) Version 1.0</name>
17 <distribution>repo</distribution>
|
| /packages/inputmethods/LatinIME/native/jni/tests/dictionary/utils/ |
| bloom_filter_test.cpp | 38 // Use the uniform integer distribution [0, TEST_RANDOM_DATA_MAX].
39 std::uniform_int_distribution<int> distribution(0, TEST_RANDOM_DATA_MAX);
40 auto randomNumberGenerator = std::bind(distribution, std::mt19937());
55 // Use the uniform integer distribution [0, 1].
56 std::uniform_int_distribution<int> distribution(0, 1);
57 auto randomBitGenerator = std::bind(distribution, std::mt19937());
|
| /prebuilts/maven_repo/android/com/android/support/support-emoji/26.0.0/ |
| support-emoji-26.0.0.pom | 17 <distribution>repo</distribution>
22 <distribution>repo</distribution>
27 <distribution>repo</distribution>
|
| /prebuilts/maven_repo/android/com/android/support/support-emoji/26.0.0-beta1/ |
| support-emoji-26.0.0-beta1.pom | 17 <distribution>repo</distribution>
22 <distribution>repo</distribution>
27 <distribution>repo</distribution>
|
