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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-02-08 17:19:44 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-02-08 17:29:15 -0800 |
| commit | 0658de59a279051952549c8b1495df53e6437234 (patch) | |
| tree | 811564f81d1064fb6124074a9df986a26dcc10b5 /tensorflow/g3doc | |
| parent | c87b17f996bde34027d515415b28514a38c41c9a (diff) | |
Update generated Python Op docs.
Change: 146978990
Diffstat (limited to 'tensorflow/g3doc')
3 files changed, 10 insertions, 10 deletions
diff --git a/tensorflow/g3doc/api_docs/python/contrib.distributions.bijector.md b/tensorflow/g3doc/api_docs/python/contrib.distributions.bijector.md index 5b669c2f18..d41e254fb4 100644 --- a/tensorflow/g3doc/api_docs/python/contrib.distributions.bijector.md +++ b/tensorflow/g3doc/api_docs/python/contrib.distributions.bijector.md @@ -1640,10 +1640,10 @@ Examples: ```python bijector.CholeskyOuterProduct(event_ndims=2).forward(x=[[1., 0], [2, 1]]) -# Result: [[1, 1], [1, 5]], i.e., x x.T +# Result: [[1., 2], [2, 5]], i.e., x @ x.T -bijector.SoftmaxCentered(event_ndims=2).inverse(y=[[1., 1], [1, 5]]) -# Result: [[1, 0], [2, 1]], i.e., chol(y). +bijector.CholeskyOuterProduct(event_ndims=2).inverse(y=[[1., 2], [2, 5]]) +# Result: [[1., 0], [2, 1]], i.e., cholesky(y). ``` - - - @@ -2851,8 +2851,8 @@ models `Y=log(X)` where `X ~ Gamma`. ```python exp_gamma_distribution = TransformedDistribution( - Gamma(alpha=1., beta=2.), - bijector.Invert(bijector.Exp()) + distribution=Gamma(concentration=1., rate=2.), + bijector=bijector.Invert(bijector.Exp()) ``` - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.CholeskyOuterProduct.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.CholeskyOuterProduct.md index 689176cd1e..c3ca4f5131 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.CholeskyOuterProduct.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.contrib.distributions.bijector.CholeskyOuterProduct.md @@ -8,10 +8,10 @@ Examples: ```python bijector.CholeskyOuterProduct(event_ndims=2).forward(x=[[1., 0], [2, 1]]) -# Result: [[1, 1], [1, 5]], i.e., x x.T +# Result: [[1., 2], [2, 5]], i.e., x @ x.T -bijector.SoftmaxCentered(event_ndims=2).inverse(y=[[1., 1], [1, 5]]) -# Result: [[1, 0], [2, 1]], i.e., chol(y). +bijector.CholeskyOuterProduct(event_ndims=2).inverse(y=[[1., 2], [2, 5]]) +# Result: [[1., 0], [2, 1]], i.e., cholesky(y). ``` - - - diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Invert.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Invert.md index 7a375cfd20..43a32752d6 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Invert.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.distributions.bijector.Invert.md @@ -6,8 +6,8 @@ models `Y=log(X)` where `X ~ Gamma`. ```python exp_gamma_distribution = TransformedDistribution( - Gamma(alpha=1., beta=2.), - bijector.Invert(bijector.Exp()) + distribution=Gamma(concentration=1., rate=2.), + bijector=bijector.Invert(bijector.Exp()) ``` - - - |