| /external/tensorflow/tensorflow/contrib/distributions/ |
| D | __init__.py | 15 """Classes representing statistical distributions and ops for working with them.
17 Use [tfp.distributions](/probability/api_docs/python/tfp/distributions) instead.
29 from tensorflow.contrib.distributions.python.ops import bijectors
30 from tensorflow.contrib.distributions.python.ops.autoregressive import *
31 from tensorflow.contrib.distributions.python.ops.batch_reshape import *
32 from tensorflow.contrib.distributions.python.ops.binomial import *
33 from tensorflow.contrib.distributions.python.ops.cauchy import *
34 from tensorflow.contrib.distributions.python.ops.chi2 import *
35 from tensorflow.contrib.distributions.python.ops.conditional_distribution import *
36 from tensorflow.contrib.distributions.python.ops.conditional_transformed_distribution import *
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| D | __init__.py | 63 from tensorflow.contrib.distributions.python.ops.bijectors.absolute_value import *
64 from tensorflow.contrib.distributions.python.ops.bijectors.affine import *
65 from tensorflow.contrib.distributions.python.ops.bijectors.affine_linear_operator import *
66 from tensorflow.contrib.distributions.python.ops.bijectors.affine_scalar import *
67 from tensorflow.contrib.distributions.python.ops.bijectors.batch_normalization import *
68 from tensorflow.contrib.distributions.python.ops.bijectors.chain import *
69 from tensorflow.contrib.distributions.python.ops.bijectors.cholesky_outer_product import *
70 from tensorflow.contrib.distributions.python.ops.bijectors.conditional_bijector import *
71 from tensorflow.contrib.distributions.python.ops.bijectors.exp import *
72 from tensorflow.contrib.distributions.python.ops.bijectors.fill_triangular import *
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| D | scale_tril.py | 21 from tensorflow.contrib.distributions.python.ops.bijectors import affine_scalar
22 from tensorflow.contrib.distributions.python.ops.bijectors import chain
23 from tensorflow.contrib.distributions.python.ops.bijectors import fill_triangular
24 from tensorflow.contrib.distributions.python.ops.bijectors import softplus
25 from tensorflow.contrib.distributions.python.ops.bijectors import transform_diagonal
46 tfd = tfp.distributions
85 "The TensorFlow Distributions library has moved to "
88 "should update all references to use `tfp.distributions` "
89 "instead of `tf.contrib.distributions`.",
|
| D | masked_autoregressive.py | 36 from tensorflow.python.ops.distributions import bijector
131 tfd = tfp.distributions
194 "The TensorFlow Distributions library has moved to "
197 "should update all references to use `tfp.distributions` "
198 "instead of `tf.contrib.distributions`.",
314 "The TensorFlow Distributions library has moved to "
317 "should update all references to use `tfp.distributions` "
318 "instead of `tf.contrib.distributions`.",
339 "The TensorFlow Distributions library has moved to "
342 "should update all references to use `tfp.distributions` "
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.distributions.pbtxt | 1 path: "tensorflow.distributions"
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\'>"
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\'>"
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | distributions.py | 25 from tensorflow.python.ops.distributions.bernoulli import Bernoulli
26 from tensorflow.python.ops.distributions.beta import Beta
27 from tensorflow.python.ops.distributions.categorical import Categorical
28 from tensorflow.python.ops.distributions.dirichlet import Dirichlet
29 from tensorflow.python.ops.distributions.dirichlet_multinomial import DirichletMultinomial
30 from tensorflow.python.ops.distributions.distribution import *
31 from tensorflow.python.ops.distributions.exponential import Exponential
32 from tensorflow.python.ops.distributions.gamma import Gamma
33 from tensorflow.python.ops.distributions.kullback_leibler import *
34 from tensorflow.python.ops.distributions.laplace import Laplace
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| D | kullback_leibler.py | 57 "The TensorFlow Distributions library has moved to "
60 "should update all references to use `tfp.distributions` "
61 "instead of `tf.distributions`.",
63 @tf_export(v1=["distributions.kl_divergence"])
126 "The TensorFlow Distributions library has moved to "
129 "should update all references to use `tfp.distributions` "
130 "instead of `tf.distributions`.",
136 Denote two distributions by `P` (`ref`) and `Q` (`other`). Assuming `P, Q`
164 @tf_export(v1=["distributions.RegisterKL"])
170 @distributions.RegisterKL(distributions.Normal, distributions.Normal)
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| D | distribution.py | 15 """Base classes for probability distributions."""
35 from tensorflow.python.ops.distributions import kullback_leibler
36 from tensorflow.python.ops.distributions import util
215 @tf_export(v1=["distributions.ReparameterizationType"])
219 Two static instances exist in the distributions library, signifying
235 "The TensorFlow Distributions library has moved to "
238 "should update all references to use `tfp.distributions` "
239 "instead of `tf.distributions`.",
266 tf_export(v1=["distributions.FULLY_REPARAMETERIZED"]).export_constant(
274 tf_export(v1=["distributions.NOT_REPARAMETERIZED"]).export_constant(
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | relaxed_bernoulli.py | 21 from tensorflow.contrib.distributions.python.ops import logistic
22 from tensorflow.contrib.distributions.python.ops.bijectors.sigmoid import Sigmoid
29 from tensorflow.python.ops.distributions import transformed_distribution
30 from tensorflow.python.ops.distributions import util as distribution_util
72 Creates three continuous distributions, which approximate 3 Bernoullis with
73 probabilities (0.1, 0.5, 0.4). Samples from these distributions will be in
82 Creates three continuous distributions, which approximate 3 Bernoullis with
83 logits (-2, 2, 0). Samples from these distributions will be in
92 Creates three continuous distributions, whose sigmoid approximate 3 Bernoullis
105 Creates three continuous distributions, which approximate 3 Bernoullis with
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| D | onehot_categorical.py | 29 from tensorflow.python.ops.distributions import distribution
30 from tensorflow.python.ops.distributions import kullback_leibler
31 from tensorflow.python.ops.distributions import util as distribution_util
40 distributions is that OneHotCategorical is a discrete distribution over
47 distributions. If the provided `logits` or `probs` is rank 2 or higher, for
52 represents single OneHotCategorical distributions.
89 "The TensorFlow Distributions library has moved to "
92 "should update all references to use `tfp.distributions` "
93 "instead of `tf.contrib.distributions`.",
103 """Initialize OneHotCategorical distributions using class log-probabilities.
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| D | independent.py | 30 from tensorflow.python.ops.distributions import distribution as distribution_lib
31 from tensorflow.python.ops.distributions import kullback_leibler
36 """Independent distribution from batch of distributions.
39 non-identical distributions as a single random variable. For example, the
41 distributions might define a distribution over an image (where each
57 batch dimension(s) index independent distributions, the resultant multivariate
74 tfd = tfp.distributions
101 "The TensorFlow Distributions library has moved to "
104 "should update all references to use `tfp.distributions` "
105 "instead of `tf.contrib.distributions`.",
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| D | relaxed_onehot_categorical.py | 22 from tensorflow.contrib.distributions.python.ops import bijectors
31 from tensorflow.python.ops.distributions import distribution
32 from tensorflow.python.ops.distributions import transformed_distribution
33 from tensorflow.python.ops.distributions import util as distribution_util
54 distributions is invariant under invertible transformations, so evaluating
131 "The TensorFlow Distributions library has moved to "
134 "should update all references to use `tfp.distributions` "
135 "instead of `tf.contrib.distributions`.",
150 of a set of ExpRelaxedCategorical distributions. The temperature should
153 of a set of ExpRelaxedCategorical distributions. The first
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| D | vector_diffeomixture.py | 23 from tensorflow.contrib.distributions.python.ops import distribution_util
24 from tensorflow.contrib.distributions.python.ops.bijectors.affine_linear_operator import AffineLine…
25 from tensorflow.contrib.distributions.python.ops.bijectors.softmax_centered import SoftmaxCentered
35 from tensorflow.python.ops.distributions import categorical as categorical_lib
36 from tensorflow.python.ops.distributions import distribution as distribution_lib
37 from tensorflow.python.ops.distributions import normal as normal_lib
55 "The TensorFlow Distributions library has moved to "
58 "should update all references to use `tfp.distributions` "
59 "instead of `tf.contrib.distributions`.",
125 "The TensorFlow Distributions library has moved to "
[all …]
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| D | poisson_lognormal.py | 23 from tensorflow.contrib.distributions.python.ops import distribution_util
24 from tensorflow.contrib.distributions.python.ops import poisson as poisson_lib
25 from tensorflow.contrib.distributions.python.ops.bijectors.exp import Exp
32 from tensorflow.python.ops.distributions import categorical as categorical_lib
33 from tensorflow.python.ops.distributions import distribution as distribution_lib
34 from tensorflow.python.ops.distributions import normal as normal_lib
35 from tensorflow.python.ops.distributions import transformed_distribution as transformed_lib
48 "The TensorFlow Distributions library has moved to "
51 "should update all references to use `tfp.distributions` "
52 "instead of `tf.contrib.distributions`.",
[all …]
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| D | kumaraswamy.py | 23 from tensorflow.contrib.distributions.python.ops import bijectors
24 from tensorflow.contrib.distributions.python.ops import distribution_util
31 from tensorflow.python.ops.distributions import distribution
32 from tensorflow.python.ops.distributions import transformed_distribution
33 from tensorflow.python.ops.distributions import uniform
46 "The TensorFlow Distributions library has moved to "
49 "should update all references to use `tfp.distributions` "
50 "instead of `tf.contrib.distributions`.",
98 # Create a batch of three Kumaraswamy distributions.
137 "The TensorFlow Distributions library has moved to "
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| D | binomial.py | 28 from tensorflow.python.ops.distributions import distribution
29 from tensorflow.python.ops.distributions import util as distribution_util
48 "The TensorFlow Distributions library has moved to "
51 "should update all references to use `tfp.distributions` "
52 "instead of `tf.contrib.distributions`.",
116 Creates 3 distributions with the third distribution most likely to have
144 "The TensorFlow Distributions library has moved to "
147 "should update all references to use `tfp.distributions` "
148 "instead of `tf.contrib.distributions`.",
157 """Initialize a batch of Binomial distributions.
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| D | statistical_testing.py | 33 from tensorflow_probability.python.distributions.internal import statistical_testing
218 high: Floating-point `Tensor` of upper bounds on the distributions'
263 low: Floating-point `Tensor` of lower bounds on the distributions'
355 In batch mode, computes confidence intervals for all distributions
377 low: Floating-point `Tensor` of lower bounds on the distributions'
379 high: Floating-point `Tensor` of upper bounds on the distributions'
448 low: Floating-point `Tensor` of lower bounds on the distributions'
450 high: Floating-point `Tensor` of upper bounds on the distributions'
485 n: `Tensor` of numbers of samples to be drawn from the distributions
487 low: Floating-point `Tensor` of lower bounds on the distributions'
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| D | chi2.py | 27 from tensorflow.python.ops.distributions import gamma
69 "The TensorFlow Distributions library has moved to "
72 "should update all references to use `tfp.distributions` "
73 "instead of `tf.contrib.distributions`.",
80 """Construct Chi2 distributions with parameter `df`.
128 "The TensorFlow Distributions library has moved to "
131 "should update all references to use `tfp.distributions` "
132 "instead of `tf.contrib.distributions`.",
|
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | wishart_test.py | 23 from tensorflow.contrib import distributions as distributions_lib
31 distributions = distributions_lib variable
58 w = distributions.WishartCholesky(df, chol(scale))
62 w = distributions.WishartCholesky(df=1, scale=[[1.]])
75 w = distributions.WishartCholesky(df=4,
79 w = distributions.WishartCholesky(df=5, scale=[[1.]])
86 w = distributions.WishartCholesky(df, chol(scale))
93 w = distributions.WishartCholesky(df, chol(scale))
100 w = distributions.WishartCholesky(df, chol(scale))
107 w = distributions.WishartCholesky(df, chol(scale))
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| D | quantized_distribution_test.py | 22 from tensorflow.contrib import distributions as distributions_lib
31 distributions = distributions_lib variable
59 qdist = distributions.QuantizedDistribution(
60 distribution=distributions.Uniform(low=0.0, high=3.0),
87 # Note fractional values allowed for cdfs of discrete distributions.
104 qdist = distributions.QuantizedDistribution(
105 distribution=distributions.Uniform(low=-3., high=3.),
140 uniform = distributions.Uniform(
143 qdist = distributions.QuantizedDistribution(
169 normal = distributions.Normal(
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| D | normal_conjugate_posteriors_test.py | 23 from tensorflow.contrib import distributions as distributions_lib
31 distributions = distributions_lib variable
44 prior = distributions.Normal(loc=mu0, scale=sigma0)
45 posterior = distributions.normal_conjugates_known_scale_posterior(
49 self.assertTrue(isinstance(posterior, distributions.Normal))
65 prior = distributions.Normal(loc=mu0, scale=sigma0)
66 posterior = distributions.normal_conjugates_known_scale_posterior(
70 self.assertTrue(isinstance(posterior, distributions.Normal))
88 prior = distributions.Normal(loc=mu0, scale=sigma0)
89 posterior = distributions.normal_conjugates_known_scale_posterior(
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| D | distribution_test.py | 21 from tensorflow.contrib import distributions
30 tfd = distributions
66 # Note: we cannot easily test all distributions since each requires
139 reparameterization_type=distributions.NOT_REPARAMETERIZED,
215 ("tfp.distributions.Normal("
224 ("tfp.distributions.Chi2("
233 ("tfp.distributions.Exponential(\"Exponential/\", "
243 ("tfp.distributions.MultivariateNormalDiag("
255 ("tfp.distributions.MultivariateNormalDiag("
263 ("tfp.distributions.MultivariateNormalDiag("
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| D | autoregressive_test.py | 21 from tensorflow.contrib.distributions.python.ops import autoregressive as autoregressive_lib
22 from tensorflow.contrib.distributions.python.ops import independent as independent_lib
23 from tensorflow.contrib.distributions.python.ops import test_util
24 from tensorflow.contrib.distributions.python.ops.bijectors.affine import Affine
25 from tensorflow.contrib.distributions.python.ops.bijectors.masked_autoregressive import MaskedAutor…
28 from tensorflow.python.ops.distributions import normal as normal_lib
29 from tensorflow.python.ops.distributions import transformed_distribution as transformed_distributio…
30 from tensorflow.python.ops.distributions import util as distribution_util
|
| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| D | BUILD | 16 "//tensorflow/python/ops/distributions",
34 "//tensorflow/python/ops/distributions",
54 "//tensorflow/python/ops/distributions",
67 "//tensorflow/python/ops/distributions",
85 "//tensorflow/python/ops/distributions",
102 "//tensorflow/python/ops/distributions",
121 "//tensorflow/python/ops/distributions",
136 "//tensorflow/python/ops/distributions",
156 "//tensorflow/python/ops/distributions",
172 "//tensorflow/python/ops/distributions",
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| /external/python/setuptools/docs/ |
| D | pkg_resources.txt | 22 introspecting, activating and using installed Python distributions. Some
27 relevant distributions.
77 A collection of distributions potentially available for importing, but not
82 A collection of distributions actually available for importing, as on
88 Eggs are pluggable distributions in one of the three formats currently
114 Finding and Activating Package Distributions
140 multiple, separately-packaged distributions. They are normally used to split
153 contained packages and modules may be spread across multiple distributions.
155 corresponding package in all distributions on ``sys.path`` that contain a
183 distributions. In general, there is only one meaningful ``WorkingSet``
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