Fix typo in Recommender's score function doc

cornac/models/baseline_only/recom_bo.pyx

@@ -188,7 +188,7 @@ class BaselineOnly(Recommender):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/bpr/recom_bpr.pyx

@@ -269,7 +269,7 @@ class BPR(Recommender):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/c2pf/recom_c2pf.py

@@ -254,7 +254,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/cdl/recom_cdl.py

@@ -272,7 +272,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/cdr/recom_cdr.py

@@ -260,7 +260,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/coe/recom_coe.py

@@ -141,7 +141,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/conv_mf/recom_convmf.py

@@ -326,7 +326,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/ctr/recom_ctr.py

@@ -196,7 +196,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/cvae/recom_cvae.py

@@ -243,7 +243,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/cvaecf/recom_cvaecf.py

@@ -196,7 +196,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/efm/recom_efm.pyx

@@ -445,7 +445,7 @@ class EFM(Recommender):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/global_avg/recom_global_avg.py

@@ -42,7 +42,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/hft/recom_hft.py

@@ -218,7 +218,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/hpf/recom_hpf.py

@@ -170,7 +170,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/ibpr/recom_ibpr.py

@@ -133,7 +133,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/knn/recom_knn.py

@@ -218,7 +218,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns
@@ -395,7 +395,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/mcf/recom_mcf.py

@@ -204,7 +204,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/mf/recom_mf.pyx

@@ -243,7 +243,7 @@ class MF(Recommender):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/most_pop/recom_most_pop.py

@@ -61,7 +61,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/mter/recom_mter.pyx

@@ -682,7 +682,7 @@ class MTER(Recommender):
             The index of the user for whom to perform score prediction.
 
         i_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/ncf/recom_gmf.py

@@ -154,7 +154,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/ncf/recom_mlp.py

@@ -161,7 +161,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/ncf/recom_neumf.py

@@ -265,7 +265,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/nmf/recom_nmf.pyx

@@ -275,7 +275,7 @@ class NMF(Recommender):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/online_ibpr/recom_online_ibpr.py

@@ -136,7 +136,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/pcrl/recom_pcrl.py

@@ -180,7 +180,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/pmf/recom_pmf.py

@@ -202,7 +202,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/recommender.py

@@ -185,7 +185,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/skm/recom_skmeans.py

@@ -133,7 +133,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/sorec/recom_sorec.py

@@ -227,7 +227,7 @@ def score(self, user_idx, item_idx=None):
         user_idx: int, required
             The index of the user for whom to perform score prediction.
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
         Returns
         -------

cornac/models/vaecf/recom_vaecf.py

@@ -171,7 +171,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/vbpr/recom_vbpr.py

@@ -284,7 +284,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/vmf/recom_vmf.py

@@ -198,7 +198,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns

cornac/models/wmf/recom_wmf.py

@@ -223,7 +223,7 @@ def score(self, user_idx, item_idx=None):
             The index of the user for whom to perform score prediction.
 
         item_idx: int, optional, default: None
-            The index of the item for that to perform score prediction.
+            The index of the item for which to perform score prediction.
             If None, scores for all known items will be returned.
 
         Returns