Merge branch 'master' of https://github.com/shenweichen/DeepCTR-PyTorch

shenweichen · Sep 22, 2019 · abb3a82 · abb3a82
2 parents 18bb0f5 + 86ad276
commit abb3a82
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Showing 6 changed files with 9 additions and 9 deletions.
diff --git a/deepctr_torch/utils.py b/deepctr_torch/utils.py
@@ -35,8 +35,8 @@ def check(version):
                     latest_version = max(latest_version, ver)
                 if latest_version > version:
                     logging.warning(
-                        '\nDeepCTR-PyTorch version {0} detected. Your version is {1}.\nUse `pip install -U deepctr-torch` to upgrade.'.format(
-                            latest_version, version))#Changelog: https://github.com/shenweichen/DeepCTR-PyTorch/releases/tag/v{0}
+                        '\nDeepCTR-PyTorch version {0} detected. Your version is {1}.\nUse `pip install -U deepctr-torch` to upgrade.Changelog: https://github.com/shenweichen/DeepCTR-Torch/releases/tag/v{0}'.format(
+                            latest_version, version))
         except Exception as e:
             #print(e)
             return

diff --git a/docs/source/Features.md b/docs/source/Features.md
@@ -143,9 +143,9 @@ By stacking multiple interacting layers,AutoInt is able to model different order
 
 ONN models second order feature interactions like like FFM and preserves second-order interaction information  as much as possible.Further more,deep neural network is used to learn higher-ordered feature interactions. 
 
-[**NFFM Model API**](./deepctr_torch.models.onn.html)
+[**ONN Model API**](./deepctr_torch.models.onn.html)
 
-![NFFM](../pics/ONN.png)
+![ONN](../pics/ONN.png)
 
 [Yang Y, Xu B, Shen F, et al. Operation-aware Neural Networks for User Response Prediction[J]. arXiv preprint arXiv:1904.12579, 2019.](https://arxiv.org/pdf/1904.12579.pdf)
 

diff --git a/docs/source/History.md b/docs/source/History.md
@@ -1,2 +1,2 @@
 # History
-- 09/22/2019 : DeepCTR-PyTorch first version v0.1.0  is released on [PyPi](https://pypi.org/project/deepctr-torch/)
+- 09/22/2019 : DeepCTR-Torch first version v0.1.0  is released on [PyPi](https://pypi.org/project/deepctr-torch/)
diff --git a/docs/source/Models.rst b/docs/source/Models.rst
@@ -17,7 +17,7 @@ DeepCTR-PyTorch Models API
    DSIN<deepctr_torch.models.dsin>
    xDeepFM<deepctr_torch.models.xdeepfm>
    AutoInt<deepctr_torch.models.autoint>
-   NFFM<deepctr_torch.models.nffm>
+   ONN<deepctr_torch.models.onn>
    FGCNN<deepctr_torch.models.fgcnn>
    FiBiNET<deepctr_torch.models.fibinet>
 
diff --git a/docs/source/Quick-Start.md b/docs/source/Quick-Start.md
@@ -6,7 +6,7 @@
 ```bash
 $ pip install -U deepctr-torch
 ```
-## Getting started: 4 steps to DeepCTR
+## Getting started: 4 steps to DeepCTR-Torch
 
 
 ### Step 1: Import model

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -3,7 +3,7 @@
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
 
-Welcome to DeepCTR-PyTorch's documentation!
+Welcome to DeepCTR-Torch's documentation!
 ===================================
 
 |Downloads|_ |Stars|_ |Forks|_ |PyPi|_ |Issues|_ |Gitter|_
@@ -26,7 +26,7 @@ Welcome to DeepCTR-PyTorch's documentation!
 .. |Gitter| image:: https://badges.gitter.im/DeepCTR/community.svg
 .. _Gitter: https://gitter.im/DeepCTR/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge
 
-DeepCTR-PyTorch is a **Easy-to-use** , **Modular** and **Extendible** package of deep-learning based CTR models along with lots of core components layer  which can be used to build your own custom model easily.It is compatible with **PyTorch**.You can use any complex model with ``model.fit()`` and ``model.predict()``.
+DeepCTR-Torch is a **Easy-to-use** , **Modular** and **Extendible** package of deep-learning based CTR models along with lots of core components layer  which can be used to build your own custom model easily.It is compatible with **PyTorch**.You can use any complex model with ``model.fit()`` and ``model.predict()``.
 
 Let's `Get Started! <./Quick-Start.html>`_ (`Chinese Introduction <https://zhuanlan.zhihu.com/p/53231955>`_)