feat: rename tagged_table parameter of fit to training_set (#71)

### Summary of Changes Rename `tagged_table` parameter of `fit` to `training_set` to match standard terminology.
Safe-DS · Mar 24, 2023 · 8655521 · 8655521
1 parent b513454
commit 8655521
Show file tree

Hide file tree

Showing 17 changed files with 48 additions and 48 deletions.
diff --git a/src/safeds/ml/classification/_ada_boost.py b/src/safeds/ml/classification/_ada_boost.py
@@ -17,13 +17,13 @@ def __init__(self) -> None:
         self._classification = sk_AdaBoostClassifier()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
@@ -32,7 +32,7 @@ def fit(self, tagged_table: TaggedTable) -> None:
             If the tagged table contains invalid values or if the training failed.
         """
         self.target_name = safeds.ml._util_sklearn.fit(
-            self._classification, tagged_table
+            self._classification, training_set
         )
 
     def predict(self, dataset: Table) -> Table:

diff --git a/src/safeds/ml/classification/_classifier.py b/src/safeds/ml/classification/_classifier.py
@@ -5,13 +5,13 @@
 
 class Classifier(ABC):
     @abstractmethod
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises

diff --git a/src/safeds/ml/classification/_decision_tree.py b/src/safeds/ml/classification/_decision_tree.py
@@ -17,13 +17,13 @@ def __init__(self) -> None:
         self._classification = sk_DecisionTreeClassifier()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
@@ -32,7 +32,7 @@ def fit(self, tagged_table: TaggedTable) -> None:
             If the tagged table contains invalid values or if the training failed.
         """
         self.target_name = safeds.ml._util_sklearn.fit(
-            self._classification, tagged_table
+            self._classification, training_set
         )
 
     def predict(self, dataset: Table) -> Table:

diff --git a/src/safeds/ml/classification/_gradient_boosting_classification.py b/src/safeds/ml/classification/_gradient_boosting_classification.py
@@ -17,13 +17,13 @@ def __init__(self) -> None:
         self._classification = GradientBoostingClassifier()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
@@ -32,7 +32,7 @@ def fit(self, tagged_table: TaggedTable) -> None:
             If the tagged table contains invalid values or if the training failed.
         """
         self.target_name = safeds.ml._util_sklearn.fit(
-            self._classification, tagged_table
+            self._classification, training_set
         )
 
     # noinspection PyProtectedMember

diff --git a/src/safeds/ml/classification/_k_nearest_neighbors.py b/src/safeds/ml/classification/_k_nearest_neighbors.py
@@ -21,13 +21,13 @@ def __init__(self, n_neighbors: int) -> None:
         self._classification = KNeighborsClassifier(n_jobs=-1, n_neighbors=n_neighbors)
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
@@ -36,7 +36,7 @@ def fit(self, tagged_table: TaggedTable) -> None:
             If the tagged table contains invalid values or if the training failed.
         """
         self.target_name = safeds.ml._util_sklearn.fit(
-            self._classification, tagged_table
+            self._classification, training_set
         )
 
     def predict(self, dataset: Table) -> Table:

diff --git a/src/safeds/ml/classification/_logistic_regression.py b/src/safeds/ml/classification/_logistic_regression.py
@@ -17,13 +17,13 @@ def __init__(self) -> None:
         self._classification = sk_LogisticRegression(n_jobs=-1)
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
@@ -32,7 +32,7 @@ def fit(self, tagged_table: TaggedTable) -> None:
             If the tagged table contains invalid values or if the training failed.
         """
         self.target_name = safeds.ml._util_sklearn.fit(
-            self._classification, tagged_table
+            self._classification, training_set
         )
 
     def predict(self, dataset: Table) -> Table:

diff --git a/src/safeds/ml/classification/_random_forest.py b/src/safeds/ml/classification/_random_forest.py
@@ -16,13 +16,13 @@ def __init__(self) -> None:
         self._classification = RandomForestClassifier(n_jobs=-1)
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
@@ -31,7 +31,7 @@ def fit(self, tagged_table: TaggedTable) -> None:
             If the tagged table contains invalid values or if the training failed.
         """
         self.target_name = safeds.ml._util_sklearn.fit(
-            self._classification, tagged_table
+            self._classification, training_set
         )
 
     def predict(self, dataset: Table) -> Table:

diff --git a/src/safeds/ml/regression/_ada_boost.py b/src/safeds/ml/regression/_ada_boost.py
@@ -17,21 +17,21 @@ def __init__(self) -> None:
         self._regression = sk_AdaBoostRegressor()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
         ------
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     def predict(self, dataset: Table) -> Table:
         """

diff --git a/src/safeds/ml/regression/_decision_tree.py b/src/safeds/ml/regression/_decision_tree.py
@@ -17,21 +17,21 @@ def __init__(self) -> None:
         self._regression = sk_DecisionTreeRegressor()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
         ------
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     def predict(self, dataset: Table) -> Table:
         """

diff --git a/src/safeds/ml/regression/_elastic_net_regression.py b/src/safeds/ml/regression/_elastic_net_regression.py
@@ -17,21 +17,21 @@ def __init__(self) -> None:
         self._regression = sk_ElasticNet()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
         ------
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     def predict(self, dataset: Table) -> Table:
         """

diff --git a/src/safeds/ml/regression/_gradient_boosting_regression.py b/src/safeds/ml/regression/_gradient_boosting_regression.py
@@ -17,7 +17,7 @@ def __init__(self) -> None:
         self._regression = GradientBoostingRegressor()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
@@ -32,7 +32,7 @@ def fit(self, tagged_table: TaggedTable) -> None:
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     # noinspection PyProtectedMember
     def predict(self, dataset: Table) -> Table:

diff --git a/src/safeds/ml/regression/_k_nearest_neighbors.py b/src/safeds/ml/regression/_k_nearest_neighbors.py
@@ -21,21 +21,21 @@ def __init__(self, n_neighbors: int) -> None:
         self._regression = KNeighborsRegressor(n_neighbors)
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
         ------
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     def predict(self, dataset: Table) -> Table:
         """

diff --git a/src/safeds/ml/regression/_lasso_regression.py b/src/safeds/ml/regression/_lasso_regression.py
@@ -17,21 +17,21 @@ def __init__(self) -> None:
         self._regression = sk_Lasso()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
         ------
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     def predict(self, dataset: Table) -> Table:
         """

diff --git a/src/safeds/ml/regression/_linear_regression.py b/src/safeds/ml/regression/_linear_regression.py
@@ -17,21 +17,21 @@ def __init__(self) -> None:
         self._regression = sk_LinearRegression(n_jobs=-1)
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
         ------
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     def predict(self, dataset: Table) -> Table:
         """

diff --git a/src/safeds/ml/regression/_random_forest.py b/src/safeds/ml/regression/_random_forest.py
@@ -16,21 +16,21 @@ def __init__(self) -> None:
         self._regression = RandomForestRegressor(n_jobs=-1)
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
         ------
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     def predict(self, dataset: Table) -> Table:
         """

diff --git a/src/safeds/ml/regression/_regressor.py b/src/safeds/ml/regression/_regressor.py
@@ -5,13 +5,13 @@
 
 class Regressor(ABC):
     @abstractmethod
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises

diff --git a/src/safeds/ml/regression/_ridge_regression.py b/src/safeds/ml/regression/_ridge_regression.py
@@ -17,21 +17,21 @@ def __init__(self) -> None:
         self._regression = sk_Ridge()
         self.target_name = ""
 
-    def fit(self, tagged_table: TaggedTable) -> None:
+    def fit(self, training_set: TaggedTable) -> None:
         """
         Fit this model given a tagged table.
 
         Parameters
         ----------
-        tagged_table : TaggedTable
+        training_set : TaggedTable
             The tagged table containing the feature and target vectors.
 
         Raises
         ------
         LearningError
             If the tagged table contains invalid values or if the training failed.
         """
-        self.target_name = safeds.ml._util_sklearn.fit(self._regression, tagged_table)
+        self.target_name = safeds.ml._util_sklearn.fit(self._regression, training_set)
 
     def predict(self, dataset: Table) -> Table:
         """