rename user_row to user_profile

lenskit/lenskit/data/dataset.py

@@ -372,12 +372,12 @@ def interaction_matrix(
 
     @abstractmethod
     @overload
-    def user_row(self, user_id: EntityId) -> UserProfile | None: ...
+    def user_profile(self, user_id: EntityId) -> UserProfile | None: ...
     @abstractmethod
     @overload
-    def user_row(self, *, user_num: int) -> UserProfile: ...
+    def user_profile(self, *, user_num: int) -> UserProfile: ...
     @abstractmethod
-    def user_row(
+    def user_profile(
         self, user_id: EntityId | None = None, *, user_num: int | None = None
     ) -> UserProfile | None:
         """
@@ -742,7 +742,7 @@ def _int_log_torch(self, fields: list[str]) -> TorchUserItemTable:
         return tbl
 
     @override
-    def user_row(
+    def user_profile(
         self, user_id: EntityId | None = None, *, user_num: int | None = None
     ) -> UserProfile | None:
         if user_num is None:
@@ -819,8 +819,8 @@ def interaction_log(self, *args, **kwargs) -> Any:
         return self.delegate().interaction_log(*args, **kwargs)
 
     @override
-    def user_row(self, *args, **kwargs) -> UserProfile | None:
-        return self.delegate().user_row(*args, **kwargs)
+    def user_profile(self, *args, **kwargs) -> UserProfile | None:
+        return self.delegate().user_profile(*args, **kwargs)
 
 
 def from_interactions_df(

lenskit/lenskit/splitting/users.py

@@ -162,7 +162,7 @@ def _make_split(
     test = {}
 
     for u in test_us:
-        profile = data.user_row(u)
+        profile = data.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None

lenskit/tests/test_dataset_matrix.py

@@ -349,7 +349,7 @@ def test_matrix_rows_by_id(rng: np.random.Generator, ml_ratings: pd.DataFrame, m
     users = rng.choice(ml_ds.users.ids(), 50)
 
     for user in users:
-        profile = ml_ds.user_row(user)
+        profile = ml_ds.user_profile(user)
         assert profile is not None
         row = profile.item_list()
         assert row is not None
@@ -382,7 +382,7 @@ def test_matrix_rows_by_num(rng: np.random.Generator, ml_ratings: pd.DataFrame,
 
     for user in users:
         uid = ml_ds.users.id(user)
-        profile = ml_ds.user_row(user_num=user)
+        profile = ml_ds.user_profile(user_num=user)
         assert profile is not None
         row = profile.item_list()
         assert row is not None

lenskit/tests/test_itemlist.py

@@ -223,7 +223,7 @@ def test_item_list_pickle_compact(ml_ds: Dataset):
 
 
 def test_item_list_pickle_fields(ml_ds: Dataset):
-    row = ml_ds.user_row(user_num=400).item_list()
+    row = ml_ds.user_profile(user_num=400).item_list()
     assert row is not None
     data = pickle.dumps(row)
     r2 = pickle.loads(data)
@@ -238,7 +238,7 @@ def test_item_list_pickle_fields(ml_ds: Dataset):
 
 
 def test_subset_mask(ml_ds: Dataset):
-    row = ml_ds.user_row(user_num=400).item_list()
+    row = ml_ds.user_profile(user_num=400).item_list()
     assert row is not None
     ratings = row.field("rating")
     assert ratings is not None
@@ -258,7 +258,7 @@ def test_subset_mask(ml_ds: Dataset):
 
 
 def test_subset_idx(ml_ds: Dataset):
-    row = ml_ds.user_row(user_num=400).item_list()
+    row = ml_ds.user_profile(user_num=400).item_list()
     assert row is not None
     ratings = row.field("rating")
     assert ratings is not None
@@ -275,7 +275,7 @@ def test_subset_idx(ml_ds: Dataset):
 
 
 def test_subset_slice(ml_ds: Dataset):
-    row = ml_ds.user_row(user_num=400).item_list()
+    row = ml_ds.user_profile(user_num=400).item_list()
     assert row is not None
     ratings = row.field("rating")
     assert ratings is not None

lenskit/tests/test_split_holdout.py

@@ -22,7 +22,7 @@ def test_sample_n(ml_ds: Dataset):
 
     s5 = SampleN(5)
     for u in users:
-        profile = ml_ds.user_row(u)
+        profile = ml_ds.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None
@@ -34,7 +34,7 @@ def test_sample_n(ml_ds: Dataset):
 
     s10 = SampleN(10)
     for u in users:
-        profile = ml_ds.user_row(u)
+        profile = ml_ds.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None
@@ -50,7 +50,7 @@ def test_sample_frac(ml_ds: Dataset):
 
     samp = SampleFrac(0.2)
     for u in users:
-        profile = ml_ds.user_row(u)
+        profile = ml_ds.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None
@@ -63,7 +63,7 @@ def test_sample_frac(ml_ds: Dataset):
 
     samp = SampleFrac(0.5)
     for u in users:
-        profile = ml_ds.user_row(u)
+        profile = ml_ds.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None
@@ -80,7 +80,7 @@ def test_last_n(ml_ds: Dataset):
 
     samp = LastN(5)
     for u in users:
-        profile = ml_ds.user_row(u)
+        profile = ml_ds.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None
@@ -93,7 +93,7 @@ def test_last_n(ml_ds: Dataset):
 
     samp = LastN(7)
     for u in users:
-        profile = ml_ds.user_row(u)
+        profile = ml_ds.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None
@@ -110,7 +110,7 @@ def test_last_frac(ml_ds: Dataset):
 
     samp = LastFrac(0.2, "timestamp")
     for u in users:
-        profile = ml_ds.user_row(u)
+        profile = ml_ds.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None
@@ -124,7 +124,7 @@ def test_last_frac(ml_ds: Dataset):
 
     samp = LastFrac(0.5, "timestamp")
     for u in users:
-        profile = ml_ds.user_row(u)
+        profile = ml_ds.user_profile(u)
         assert profile is not None
         row = profile.item_list()
         assert row is not None

lenskit/tests/test_split_users.py

@@ -55,7 +55,7 @@ def test_crossfold_may_skip_train(ml_ratings: pd.DataFrame):
     for train, test in splits:
         for u in ucounts[ucounts == 1].index:
             if u in test:
-                row = train.user_row(u)
+                row = train.user_profile(u)
                 assert row is not None
                 items = row.item_list()
                 assert items is not None