From 7ef986e062f93ea671d9d26c336653a7f6cb8eb2 Mon Sep 17 00:00:00 2001
From: Quoc-Tuan Truong <tqtg@users.noreply.github.com>
Date: Tue, 3 Dec 2019 15:46:59 +0800
Subject: [PATCH] Fix documentation list displaying issue (#275)

---
 cornac/models/ncf/recom_gmf.py   | 3 ++-
 cornac/models/ncf/recom_mlp.py   | 3 ++-
 cornac/models/ncf/recom_neumf.py | 3 ++-
 docs/source/models.rst           | 4 ++--
 4 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/cornac/models/ncf/recom_gmf.py b/cornac/models/ncf/recom_gmf.py
index 93c64d591..7967d5ded 100644
--- a/cornac/models/ncf/recom_gmf.py
+++ b/cornac/models/ncf/recom_gmf.py
@@ -46,7 +46,8 @@ class GMF(Recommender):
         Specify an optimizer: adagrad, adam, rmsprop, sgd
 
     early_stopping: {min_delta: float, patience: int}, optional, default: None
-        If `None`, no early stopping. Meaning of the arguments: \
+        If `None`, no early stopping. Meaning of the arguments: 
+        
          - `min_delta`: the minimum increase in monitored value on validation set to be considered as improvement, \
            i.e. an increment of less than min_delta will count as no improvement.
          - `patience`: number of epochs with no improvement after which training should be stopped.
diff --git a/cornac/models/ncf/recom_mlp.py b/cornac/models/ncf/recom_mlp.py
index 674b16178..9f68c7532 100644
--- a/cornac/models/ncf/recom_mlp.py
+++ b/cornac/models/ncf/recom_mlp.py
@@ -52,7 +52,8 @@ class MLP(Recommender):
         Specify an optimizer: adagrad, adam, rmsprop, sgd
 
     early_stopping: {min_delta: float, patience: int}, optional, default: None
-        If `None`, no early stopping. Meaning of the arguments: \
+        If `None`, no early stopping. Meaning of the arguments:
+        
          - `min_delta`: the minimum increase in monitored value on validation set to be considered as improvement, \
            i.e. an increment of less than min_delta will count as no improvement.
          - `patience`: number of epochs with no improvement after which training should be stopped.
diff --git a/cornac/models/ncf/recom_neumf.py b/cornac/models/ncf/recom_neumf.py
index 140c0fe1b..c1fc7d60a 100644
--- a/cornac/models/ncf/recom_neumf.py
+++ b/cornac/models/ncf/recom_neumf.py
@@ -58,7 +58,8 @@ class NeuMF(Recommender):
         Specify an optimizer: adagrad, adam, rmsprop, sgd
 
     early_stopping: {min_delta: float, patience: int}, optional, default: None
-        If `None`, no early stopping. Meaning of the arguments: \
+        If `None`, no early stopping. Meaning of the arguments: 
+        
          - `min_delta`: the minimum increase in monitored value on validation set to be considered as improvement, \
            i.e. an increment of less than min_delta will count as no improvement.
          - `patience`: number of epochs with no improvement after which training should be stopped.
diff --git a/docs/source/models.rst b/docs/source/models.rst
index bbe6e4277..5950a2f41 100644
--- a/docs/source/models.rst
+++ b/docs/source/models.rst
@@ -35,7 +35,7 @@ Collaborative Variational Autoencoder (CVAE)
 .. automodule:: cornac.models.cvae.recom_cvae
    :members:
 
-Generalized Matrix Factorization (NeuMF)
+Generalized Matrix Factorization (GMF)
 -----------------------------------------
 .. automodule:: cornac.models.ncf.recom_gmf
    :members:
@@ -55,7 +55,7 @@ Multi-Layer Perceptron (MLP)
 .. automodule:: cornac.models.ncf.recom_mlp
    :members:
 
-Neural Matrix Factorization (NeuMF)
+Neural Matrix Factorization (NeuMF/NCF)
 ----------------------------------------------
 .. automodule:: cornac.models.ncf.recom_neumf
    :members: