From 63e6f142b20ccdabcb8ae384f1d960f581e23c8c Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 10 May 2017 08:47:20 +0000 Subject: [PATCH] Deploy to GitHub Pages: 1b83092db1aaed8c3e52a6e3079d4f82c5e8eec9 --- .../_sources/api/v1/data_provider/pydataprovider2_en.rst.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/release/0.10.0/doc/_sources/api/v1/data_provider/pydataprovider2_en.rst.txt b/release/0.10.0/doc/_sources/api/v1/data_provider/pydataprovider2_en.rst.txt index 30357be325..e8fb629277 100644 --- a/release/0.10.0/doc/_sources/api/v1/data_provider/pydataprovider2_en.rst.txt +++ b/release/0.10.0/doc/_sources/api/v1/data_provider/pydataprovider2_en.rst.txt @@ -178,7 +178,7 @@ input_types +++++++++++ PaddlePaddle has four data types, and three sequence types. -The four data types are: +The four data types are: * :code:`dense_vector`: dense float vector. * :code:`sparse_binary_vector`: sparse binary vector, most of the value is 0, and @@ -231,7 +231,7 @@ Its parameters lists as follows: * :code:`is_train` is a bool parameter that indicates the DataProvider is used in training or testing. * :code:`file_list` is the list of all files. - + * User-defined parameters args can be set in training configuration. Note, PaddlePaddle reserves the right to add pre-defined parameter, so please -- GitLab