| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| quantized_distribution.py | 15 """Quantized distribution."""
28 from tensorflow.python.ops.distributions import distribution as distributions
64 The base distribution's `cdf` method must be defined on `y - 1`. If the
65 base distribution has a `survival_function` method, results will be more
71 The base distribution's `log_cdf` method must be defined on `y - 1`. If the
72 base distribution has a `log_survival_function` method results will be more
95 The base distribution's `cdf` method must be defined on `y - 1`.
99 The base distribution's `log_cdf` method must be defined on `y - 1`.
120 The base distribution's `cdf` method must be defined on `y - 1`.
124 The base distribution's `log_cdf` method must be defined on `y - 1`
507 def distribution(self): member in class:QuantizedDistribution
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| vector_sinh_arcsinh_diag.py | 15 """Multi-dimensional (Vector) SinhArcsinh transformation of a distribution."""
35 """The (diagonal) SinhArcsinh transformation of a distribution on `R^k`.
37 This distribution models a random vector `Y = (Y1,...,Yk)`, making use of
60 This distribution is similar to the location-scale transformation
71 This distribution is different than `loc + scale @ Z` due to the
80 * `tailweight < 1` leads to a distribution that is "flat" around `Y = loc`,
82 * `tailweight > 1` leads to a distribution more peaked at the mode with
104 distribution=None,
108 """Construct VectorSinhArcsinhDiag distribution on `R^k`.
144 distribution: `tf.Distribution`-like instance. Distribution from which `k
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| poisson_lognormal.py | 15 """The PoissonLogNormalQuadratureCompound distribution class."""
33 from tensorflow.python.ops.distributions import distribution as distribution_lib
60 validate_args: Python `bool`, default `False`. When `True` distribution
100 validate_args: Python `bool`, default `False`. When `True` distribution
114 # Create a LogNormal distribution.
116 distribution=normal_lib.Normal(loc=loc, scale=scale),
154 class PoissonLogNormalQuadratureCompound(distribution_lib.Distribution):
155 """`PoissonLogNormalQuadratureCompound` distribution.
158 Poisson-LogNormal [compound distribution](
167 By default, the `grid` is chosen as quantiles of the `LogNormal` distribution
303 def distribution(self): member in class:PoissonLogNormalQuadratureCompound
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| estimator.py | 15 """Functions to bridge `Distribution`s and `tf.contrib.learn.estimator` APIs."""
40 """Creates a `Head` for regression under a generic distribution.
43 make_distribution_fn: Python `callable` which returns a `tf.Distribution`
78 """Creates a _RegressionHead instance from an arbitray `Distribution`."""
91 make_distribution_fn: Python `callable` which returns a `tf.Distribution`
134 d = self.distribution(logits)
150 d = self.distribution(logits)
168 def distribution(self, logits, name=None): member in class:_DistributionRegressionHead
169 """Retrieves a distribution instance, parameterized by `logits`.
173 underlying distribution
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_RandomGamma.pbtxt | 7 distribution described by the shape parameters given in alpha.
14 associated gamma distribution.
39 summary: "Outputs random values from the Gamma distribution(s) described by alpha."
|
| api_def_RandomPoissonV2.pbtxt | 7 distribution described by the shape parameters given in rate.
14 associated poisson distribution.
39 summary: "Outputs random values from the Poisson distribution(s) described by rate."
|
| /prebuilts/tools/common/m2/repository/com/googlecode/jarjar/jarjar/1.3/ |
| jarjar-1.3.pom | 16 <description>Jar Jar Links is a utility that makes it easy to repackage Java libraries and embed them into your own distribution.</description>
22 <distribution>repo</distribution>
|
| /prebuilts/tools/common/m2/repository/org/khronos/opengl-api/gl1.1-android-2.1_r1/ |
| opengl-api-gl1.1-android-2.1_r1.pom | 17 While the EULA for the Android SDK restricts distribution of those binaries, the source code
21 <distribution>repo</distribution>
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
| AbstractIntegerDistribution.java | 17 package org.apache.commons.math.distribution;
31 * from distribution to distribution.
42 * RandomData instance used to generate samples from the distribution
56 * to this distribution, this method returns P(X ≤ x). In other words,
57 * this method represents the (cumulative) distribution function, or
58 * CDF, for this distribution.
63 * @param x the value at which the distribution function is evaluated.
65 * distribution takes a value less than or equal to <code>x</code>
75 * to this distribution, this method returns P(x0 ≤ X ≤ x1)
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| BinomialDistributionImpl.java | 17 package org.apache.commons.math.distribution;
45 * Create a binomial distribution with the given number of trials and
58 * Access the number of trials for this distribution.
67 * Access the probability of success for this distribution.
76 * Change the number of trials for this distribution.
89 * Change the number of trials for this distribution.
104 * Change the probability of success for this distribution.
117 * Change the probability of success for this distribution.
158 * For this distribution, X, this method returns P(X ≤ x).
161 * @return PDF for this distribution
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| PascalDistributionImpl.java | 17 package org.apache.commons.math.distribution;
46 * Create a Pascal distribution with the given number of trials and
58 * Access the number of successes for this distribution.
66 * Access the probability of success for this distribution.
74 * Change the number of successes for this distribution.
86 * Change the number of successes for this distribution.
101 * Change the probability of success for this distribution.
113 * Change the probability of success for this distribution.
152 * For this distribution, X, this method returns P(X ≤ x).
154 * @return PDF for this distribution
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| ZipfDistributionImpl.java | 18 package org.apache.commons.math.distribution;
40 /** Exponent parameter of the distribution. */
44 * Create a new Zipf distribution with the given number of elements and
59 * Get the number of elements (e.g. corpus size) for the distribution.
68 * Set the number of elements (e.g. corpus size) for the distribution.
81 * Set the number of elements (e.g. corpus size) for the distribution.
98 * Get the exponent characterising the distribution.
107 * Set the exponent characterising the distribution.
121 * Set the exponent characterising the distribution.
139 * The probability mass function P(X = x) for a Zipf distribution
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| HypergeometricDistributionImpl.java | 18 package org.apache.commons.math.distribution;
48 * Construct a new hypergeometric distribution with the given the population
77 * For this distribution, X, this method returns P(X ≤ x).
80 * @return PDF for this distribution.
100 * Return the domain for the given hypergeometric distribution parameters.
106 * hypergeometric distribution.
139 * Return the lowest domain value for the given hypergeometric distribution
145 * @return the lowest domain value of the hypergeometric distribution.
179 * Return the highest domain value for the given hypergeometric distribution
184 * @return the highest domain value of the hypergeometric distribution
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| laplace.py | 15 """The Laplace distribution class."""
34 from tensorflow.python.ops.distributions import distribution
46 class Laplace(distribution.Distribution):
47 """The Laplace distribution with location `loc` and `scale` parameters.
51 The probability density function (pdf) of this distribution is,
60 Note that the Laplace distribution can be thought of two exponential
63 The Lpalce distribution is a member of the [location-scale family](
80 """Construct Laplace distribution with parameters `loc` and `scale`.
87 of the distribution
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| /device/linaro/bootloader/edk2/BaseTools/Source/Python/UPT/ |
| RmPkg.py | 2 # Install distribution package.
8 # distribution. The full text of the license may be found at
152 # remove distribution
185 # Get the installed distribution information
187 # @param DistributionFile: the name of the distribution
191 # @retval StoredDistFile: the distribution file that backed up
192 # @retval Guid: the Guid of the distribution
193 # @retval Version: the Version of distribution
206 # Check for Distribution files existence in /conf/upt, if not exist,
218 # remove a distribution
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| /external/bouncycastle/bcprov/src/main/java/org/bouncycastle/jcajce/ |
| PKIXCRLStoreSelector.java | 101 * Enables or disables the issuing distribution point check.
104 * issuing distribution point check.
113 * Sets the issuing distribution point.
115 * The issuing distribution point extension is a CRL extension which
116 * identifies the scope and the distribution point of a CRL. The scope
119 * distribution points.
126 * @param issuingDistributionPoint The issuing distribution point to set.
165 * Returns if the issuing distribution point criteria should be applied.
168 * You may also set the issuing distribution point criteria if not a missing
169 * issuing distribution point should be assumed
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| /external/bouncycastle/bcprov/src/main/java/org/bouncycastle/x509/ |
| X509CRLStoreSelector.java | 40 * Returns if the issuing distribution point criteria should be applied.
43 * You may also set the issuing distribution point criteria if not a missing
44 * issuing distribution point should be assumed.
46 * @return Returns if the issuing distribution point check is enabled.
54 * Enables or disables the issuing distribution point check.
57 * issuing distribution point check.
292 * Returns the issuing distribution point. Defaults to <code>null</code>,
293 * which is a missing issuing distribution point extension.
300 * @return Returns the issuing distribution point.
309 * Sets the issuing distribution point
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| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/distutils/command/ |
| sdist.py | 3 Implements the Distutils 'sdist' command (create a source distribution)."""
34 "List of available source distribution formats:")
38 description = "create a source distribution (tarball, zip file, etc.)"
69 "formats for source distribution (comma-separated list)"),
71 "keep the distribution tree around after creating " +
74 "directory to put the source distribution archive(s) in "
91 "list available distribution formats", show_formats),
166 # Otherwise, go ahead and create the source distribution tarball,
174 check = self.distribution.get_command_obj('check')
180 distribution, and put it in 'self.filelist'. This might involve
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| /external/python/cpython2/Lib/distutils/command/ |
| sdist.py | 3 Implements the Distutils 'sdist' command (create a source distribution)."""
34 "List of available source distribution formats:")
38 description = "create a source distribution (tarball, zip file, etc.)"
69 "formats for source distribution (comma-separated list)"),
71 "keep the distribution tree around after creating " +
74 "directory to put the source distribution archive(s) in "
91 "list available distribution formats", show_formats),
166 # Otherwise, go ahead and create the source distribution tarball,
174 check = self.distribution.get_command_obj('check')
180 distribution, and put it in 'self.filelist'. This might involv
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| /external/python/cpython3/Lib/distutils/command/ |
| sdist.py | 3 Implements the Distutils 'sdist' command (create a source distribution)."""
31 "List of available source distribution formats:")
35 description = "create a source distribution (tarball, zip file, etc.)"
66 "formats for source distribution (comma-separated list)"),
68 "keep the distribution tree around after creating " +
71 "directory to put the source distribution archive(s) in "
88 "list available distribution formats", show_formats),
153 # Otherwise, go ahead and create the source distribution tarball,
161 check = self.distribution.get_command_obj('check')
167 distribution, and put it in 'self.filelist'. This might involv
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| /prebuilts/gdb/darwin-x86/lib/python2.7/distutils/command/ |
| sdist.py | 3 Implements the Distutils 'sdist' command (create a source distribution)."""
34 "List of available source distribution formats:")
38 description = "create a source distribution (tarball, zip file, etc.)"
69 "formats for source distribution (comma-separated list)"),
71 "keep the distribution tree around after creating " +
74 "directory to put the source distribution archive(s) in "
91 "list available distribution formats", show_formats),
166 # Otherwise, go ahead and create the source distribution tarball,
174 check = self.distribution.get_command_obj('check')
180 distribution, and put it in 'self.filelist'. This might involv
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| /prebuilts/gdb/linux-x86/lib/python2.7/distutils/command/ |
| sdist.py | 3 Implements the Distutils 'sdist' command (create a source distribution)."""
34 "List of available source distribution formats:")
38 description = "create a source distribution (tarball, zip file, etc.)"
69 "formats for source distribution (comma-separated list)"),
71 "keep the distribution tree around after creating " +
74 "directory to put the source distribution archive(s) in "
91 "list available distribution formats", show_formats),
166 # Otherwise, go ahead and create the source distribution tarball,
174 check = self.distribution.get_command_obj('check')
180 distribution, and put it in 'self.filelist'. This might involv
[all...] |
| /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/distutils/command/ |
| sdist.py | 3 Implements the Distutils 'sdist' command (create a source distribution)."""
34 "List of available source distribution formats:")
38 description = "create a source distribution (tarball, zip file, etc.)"
69 "formats for source distribution (comma-separated list)"),
71 "keep the distribution tree around after creating " +
74 "directory to put the source distribution archive(s) in "
91 "list available distribution formats", show_formats),
166 # Otherwise, go ahead and create the source distribution tarball,
174 check = self.distribution.get_command_obj('check')
180 distribution, and put it in 'self.filelist'. This might involv
[all...] |
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/distutils/command/ |
| sdist.py | 3 Implements the Distutils 'sdist' command (create a source distribution)."""
34 "List of available source distribution formats:")
38 description = "create a source distribution (tarball, zip file, etc.)"
69 "formats for source distribution (comma-separated list)"),
71 "keep the distribution tree around after creating " +
74 "directory to put the source distribution archive(s) in "
91 "list available distribution formats", show_formats),
166 # Otherwise, go ahead and create the source distribution tarball,
174 check = self.distribution.get_command_obj('check')
180 distribution, and put it in 'self.filelist'. This might involv
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/inference/ |
| OneWayAnovaImpl.java | 23 import org.apache.commons.math.distribution.FDistribution;
24 import org.apache.commons.math.distribution.FDistributionImpl;
35 * {@link org.apache.commons.math.distribution.FDistribution
36 * commons-math F Distribution implementation} to estimate exact p-values.</p>
77 * {@link org.apache.commons.math.distribution.FDistribution
78 * commons-math F Distribution implementation} to estimate the exact
82 * is the commons-math implementation of the F distribution.</p>
94 * {@link org.apache.commons.math.distribution.FDistribution
95 * commons-math F Distribution implementation} to estimate the exact
99 * is the commons-math implementation of the F distribution.</p
[all...] |
