From 53ebe023ca03c6c1ec3915b120953988c3042729 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Sun, 16 Oct 2016 15:07:54 -0800 Subject: Update generated Python Op docs. Change: 136301114 --- tensorflow/g3doc/api_docs/python/contrib.distributions.md | 14 +++++++------- .../tf.contrib.distributions.TransformedDistribution.md | 14 +++++++------- 2 files changed, 14 insertions(+), 14 deletions(-) (limited to 'tensorflow') diff --git a/tensorflow/g3doc/api_docs/python/contrib.distributions.md b/tensorflow/g3doc/api_docs/python/contrib.distributions.md index 34ae9e2d94..f0e5da3d98 100644 --- a/tensorflow/g3doc/api_docs/python/contrib.distributions.md +++ b/tensorflow/g3doc/api_docs/python/contrib.distributions.md @@ -20217,8 +20217,8 @@ Additional documentation from `TransformedDistribution`: ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -20335,8 +20335,8 @@ Additional documentation from `TransformedDistribution`: ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -20419,8 +20419,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`, ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -20458,8 +20458,8 @@ Additional documentation from `TransformedDistribution`: ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -20611,8 +20611,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -20665,8 +20665,8 @@ Samples from the base distribution and then passes through ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -20714,8 +20714,8 @@ Additional documentation from `TransformedDistribution`: ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md index 25a8707b38..fc76841477 100644 --- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md +++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard1/tf.contrib.distributions.TransformedDistribution.md @@ -182,8 +182,8 @@ Additional documentation from `TransformedDistribution`: ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -300,8 +300,8 @@ Additional documentation from `TransformedDistribution`: ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -384,8 +384,8 @@ Implements `(log o p o g^{-1})(y) + (log o det o J o g^{-1})(y)`, ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -423,8 +423,8 @@ Additional documentation from `TransformedDistribution`: ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -576,8 +576,8 @@ Implements `p(g^{-1}(y)) det|J(g^{-1}(y))|`, where `g^{-1}` is the ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -630,8 +630,8 @@ Samples from the base distribution and then passes through ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: @@ -679,8 +679,8 @@ Additional documentation from `TransformedDistribution`: ##### `condition_kwargs`: -* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. * `distribution_kwargs`: Python dictionary of arg names/values forwarded to the distribution. +* `bijector_kwargs`: Python dictionary of arg names/values forwarded to the bijector. ##### Args: -- cgit v1.2.3