| /external/apache-commons-math/src/main/java/org/apache/commons/math/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
|
| /external/opencensus-java/api/src/main/java/io/opencensus/stats/ |
| Aggregation.java | 33 * <li>Distribution
55 Function<? super Distribution, T> p2,
86 Function<? super Distribution, T> p2,
120 Function<? super Distribution, T> p2,
131 * @deprecated since 0.13, use {@link Distribution} instead.
157 Function<? super Distribution, T> p2,
165 * Calculate distribution stats on aggregated {@code MeasureValue}s. Distribution includes mean,
172 public abstract static class Distribution extends Aggregation {
174 Distribution() {}
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| /external/python/setuptools/setuptools/ |
| build_meta.py | 44 class Distribution(setuptools.dist.Distribution):
53 distutils.dist.Distribution with this class
56 orig = distutils.core.Distribution
57 distutils.core.Distribution = cls
61 distutils.core.Distribution = orig
88 with Distribution.patch():
|
| dist.py | 2 __all__ = ['Distribution']
157 "Distribution contains no modules or packages for " +
260 _Distribution = get_unpatched(distutils.core.Distribution)
263 class Distribution(Distribution_parse_config_files, _Distribution):
264 """Distribution with support for features, tests, and package data
266 This is an enhanced version of 'distutils.dist.Distribution' that
270 versions that the distribution requires when installed, in the format
285 indicates that the distribution can optionally provide an extra
293 objects. Features are a portion of the distribution that can be
324 for manipulating the distribution's contents. For example, the 'include()
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| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| resolve_constant_random_uniform.cc | 32 Distribution;
41 // We use the same random number generator and distribution as TensorFlow to
43 // tensorflow::functor::FillPhiloxRandomTask<Distribution, false> in
46 Distribution dist;
48 // The generator creates Distribution::kResultElementCount samples at a time.
50 size_t num_samples = Distribution::kResultElementCount;
52 const typename Distribution::ResultType samples = dist(&generator);
|
| /external/caliper/examples/src/main/java/examples/ |
| ArraySortBenchmark.java | 33 @Param private Distribution distribution; field in class:ArraySortBenchmark
39 values = distribution.create(length);
50 public enum Distribution {
|
| /external/tensorflow/tensorflow/core/kernels/ |
| stateless_random_ops.cc | 95 // The part of Compute that depends on device, type, and distribution
100 template <typename Device, class Distribution>
107 typedef typename Distribution::ResultElementType T;
110 functor::FillPhiloxRandom<Device, Distribution>()(
112 flat.size(), Distribution());
140 // Build distribution
142 Distribution;
143 Distribution dist(lo, hi);
147 functor::FillPhiloxRandom<Device, Distribution>()(
|
| random_op.cc | 62 template <typename Device, class Distribution>
64 typedef typename Distribution::ResultElementType T;
66 T* data, int64 size, Distribution dist) {
72 template <class Distribution, bool VariableSamplesPerOutput>
75 // Specialization for distribution that takes a fixed number of samples for
77 template <class Distribution>
78 struct FillPhiloxRandomTask<Distribution, false> {
79 typedef typename Distribution::ResultElementType T;
81 int64 start_group, int64 limit_group, Distribution dist) {
82 const int kGroupSize = Distribution::kResultElementCount
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| /external/opencensus-java/api/src/main/java/io/opencensus/metrics/export/ |
| Distribution.java | 34 * {@link Distribution} contains summary statistics for a population of values. It optionally
35 * contains a histogram representing the distribution of those values across a set of buckets.
42 public abstract class Distribution {
44 Distribution() {}
47 * Creates a {@link Distribution}.
52 * @param bucketOptions the bucket options used to create a histogram for the distribution.
54 * @return a {@code Distribution}.
57 public static Distribution create(
111 * Returns bucket options used to create a histogram for the distribution.
113 * @return the {@code BucketOptions} associated with the {@code Distribution}, or {@code null} i
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| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/distutils/ |
| dist.py | 3 Provides the Distribution class, which represents the module distribution
34 class Distribution:
36 is really done within a Distribution instance, which farms the work out
39 Setup scripts will almost never instantiate Distribution directly,
42 Distribution for some specialized purpose, and then pass the subclass
44 necessary to respect the expectations that 'setup' has of Distribution.
129 """Construct a new Distribution instance: initialize all the
130 attributes of a Distribution, and then use 'attrs' (a dictionary
146 # Store the distribution meta-data (name, version, author, and so
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| /external/python/cpython2/Lib/distutils/ |
| dist.py | 3 Provides the Distribution class, which represents the module distribution
34 class Distribution:
36 is really done within a Distribution instance, which farms the work out
39 Setup scripts will almost never instantiate Distribution directly,
42 Distribution for some specialized purpose, and then pass the subclass
44 necessary to respect the expectations that 'setup' has of Distribution.
129 """Construct a new Distribution instance: initialize all the
130 attributes of a Distribution, and then use 'attrs' (a dictionary
146 # Store the distribution meta-data (name, version, author, and s
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| /external/python/cpython3/Lib/distutils/ |
| dist.py | 3 Provides the Distribution class, which represents the module distribution
33 # be converted to a list by Distribution.finalize_options().
44 class Distribution:
46 is really done within a Distribution instance, which farms the work out
49 Setup scripts will almost never instantiate Distribution directly,
52 Distribution for some specialized purpose, and then pass the subclass
54 necessary to respect the expectations that 'setup' has of Distribution.
137 """Construct a new Distribution instance: initialize all the
138 attributes of a Distribution, and then use 'attrs' (a dictionar
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| distribution.py | 46 "Distribution",
147 """Control the creation of subclasses of the Distribution class.
150 from private Distribution methods, like `_log_prob`, into their
151 public wrappers as inherited by the Distribution base class
163 TypeError: If `Distribution` is not a subclass of `BaseDistribution`, or
166 AttributeError: If `Distribution` does not implement e.g. `log_prob`.
167 ValueError: If a `Distribution` public method lacks a docstring.
169 if not baseclasses: # Nothing to be done for Distribution
170 raise TypeError("Expected non-empty baseclass. Does Distribution "
174 if base == _BaseDistribution or issubclass(base, Distribution)]
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| /external/clang/lib/Index/ |
| CommentToXML.cpp | 1024 StringRef Distribution;
1026 Distribution = AvailabilityAttr::getPrettyPlatformName(
1028 if (Distribution.empty())
1029 Distribution = AA->getPlatform()->getName();
1031 Result << " distribution=\"" << Distribution << "\">";
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| /external/llvm/include/llvm/Analysis/ |
| BlockFrequencyInfoImpl.h | 254 BlockMass Mass; ///< Mass distribution from the entry block.
344 /// \brief Distribution of unscaled probability weight.
346 /// Distribution of unscaled probability weight to a set of successors.
351 /// the distribution. It should never overflow twice.
352 struct Distribution {
358 Distribution() : Total(0), DidOverflow(false) {}
369 /// \brief Normalize the distribution.
393 /// \brief Add all edges out of a packaged loop to the distribution.
400 Distribution &Dist);
402 /// \brief Add an edge to the distribution
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| /external/python/setuptools/pkg_resources/ |
| __init__.py | 192 # Basic resource access and distribution/entry point discovery
206 'Distribution', 'Requirement', 'EntryPoint',
223 # Distribution "precedence" constants
249 Should be initialized with the installed Distribution and the requested
280 requirements that required the installed Distribution.
291 """A requested distribution was not found"""
293 _template = ("The '{self.req}' distribution was not found "
318 """Distribution doesn't have an "extra feature" of the given name"""
455 """Locate distribution `dist_spec` and run its `script_name` script"""
468 """Return a current distribution object for a Requirement or string""
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| /external/swiftshader/third_party/llvm-7.0/llvm/include/llvm/Analysis/ |
| BlockFrequencyInfoImpl.h | 277 BlockMass Mass; ///< Mass distribution from the entry block.
372 /// Distribution of unscaled probability weight.
374 /// Distribution of unscaled probability weight to a set of successors.
379 /// the distribution. It should never overflow twice.
380 struct Distribution {
387 Distribution() = default;
401 /// Normalize the distribution.
435 /// Add all edges out of a packaged loop to the distribution.
442 Distribution &Dist);
444 /// Add an edge to the distribution
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