diff --git a/docs/stdlib/safeds/data/tabular/typing/Schema.md b/docs/stdlib/safeds/data/tabular/typing/Schema.md
index 29c112457..16ea63c59 100644
--- a/docs/stdlib/safeds/data/tabular/typing/Schema.md
+++ b/docs/stdlib/safeds/data/tabular/typing/Schema.md
@@ -45,28 +45,6 @@ Store column names and corresponding data types for a `Table` or `Row`.
         @Pure
         @PythonName("to_dict")
         fun toDict() -> result1: Map<String, ColumnType>
-    
-        /**
-         * Merge multiple schemas into one.
-         *
-         * For each type missmatch the new schema will have the least common supertype.
-         *
-         * The type hierarchy is as follows:
-         * * Anything
-         *     * RealNumber
-         *         * Integer
-         *     * Boolean
-         *     * String
-         *
-         * @param schemas the list of schemas you want to merge
-         *
-         * @result result1 the new merged schema
-         */
-        @Pure
-        @PythonName("merge_multiple_schemas")
-        static fun mergeMultipleSchemas(
-            schemas: List<Schema>
-        ) -> result1: Schema
     }
     ```
 
@@ -145,38 +123,3 @@ Return a dictionary that maps column names to column types.
     @PythonName("to_dict")
     fun toDict() -> result1: Map<String, ColumnType>
     ```
-
-## `#!sds static fun` mergeMultipleSchemas {#safeds.data.tabular.typing.Schema.mergeMultipleSchemas data-toc-label='mergeMultipleSchemas'}
-
-Merge multiple schemas into one.
-
-For each type missmatch the new schema will have the least common supertype.
-
-The type hierarchy is as follows:
-* Anything
-    * RealNumber
-        * Integer
-    * Boolean
-    * String
-
-**Parameters:**
-
-| Name | Type | Description | Default |
-|------|------|-------------|---------|
-| `schemas` | [`List<Schema>`][safeds.lang.List] | the list of schemas you want to merge | - |
-
-**Results:**
-
-| Name | Type | Description |
-|------|------|-------------|
-| `result1` | [`Schema`][safeds.data.tabular.typing.Schema] | the new merged schema |
-
-??? quote "Source code in `schema.sdsstub`"
-
-    ```sds linenums="67"
-    @Pure
-    @PythonName("merge_multiple_schemas")
-    static fun mergeMultipleSchemas(
-        schemas: List<Schema>
-    ) -> result1: Schema
-    ```
diff --git a/docs/stdlib/safeds/ml/classical/classification/AdaBoostClassifier.md b/docs/stdlib/safeds/ml/classical/classification/AdaBoostClassifier.md
index 1cccc8fc8..dd3c183c6 100644
--- a/docs/stdlib/safeds/ml/classical/classification/AdaBoostClassifier.md
+++ b/docs/stdlib/safeds/ml/classical/classification/AdaBoostClassifier.md
@@ -14,7 +14,7 @@ Ada Boost classification.
 
 ??? quote "Source code in `ada_boost.sdsstub`"
 
-    ```sds linenums="16"
+    ```sds linenums="15"
     class AdaBoostClassifier(
         learner: Classifier = DecisionTreeClassifier(),
         @PythonName("maximum_number_of_learners") const maximumNumberOfLearners: Int = 50,
@@ -90,7 +90,7 @@ This classifier is not modified.
 
 ??? quote "Source code in `ada_boost.sdsstub`"
 
-    ```sds linenums="46"
+    ```sds linenums="45"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/classification/DecisionTreeClassifier.md b/docs/stdlib/safeds/ml/classical/classification/DecisionTreeClassifier.md
index f9986675b..4e473d16e 100644
--- a/docs/stdlib/safeds/ml/classical/classification/DecisionTreeClassifier.md
+++ b/docs/stdlib/safeds/ml/classical/classification/DecisionTreeClassifier.md
@@ -6,7 +6,7 @@ Decision tree classification.
 
 ??? quote "Source code in `decision_tree.sdsstub`"
 
-    ```sds linenums="10"
+    ```sds linenums="9"
     class DecisionTreeClassifier() sub Classifier {
         /**
          * Create a copy of this classifier and fit it with the given training data.
@@ -44,7 +44,7 @@ This classifier is not modified.
 
 ??? quote "Source code in `decision_tree.sdsstub`"
 
-    ```sds linenums="20"
+    ```sds linenums="19"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/classification/GradientBoostingClassifier.md b/docs/stdlib/safeds/ml/classical/classification/GradientBoostingClassifier.md
index 7e5ea6990..e7ed2f365 100644
--- a/docs/stdlib/safeds/ml/classical/classification/GradientBoostingClassifier.md
+++ b/docs/stdlib/safeds/ml/classical/classification/GradientBoostingClassifier.md
@@ -13,7 +13,7 @@ Gradient boosting classification.
 
 ??? quote "Source code in `gradient_boosting.sdsstub`"
 
-    ```sds linenums="15"
+    ```sds linenums="14"
     class GradientBoostingClassifier(
         @PythonName("number_of_trees") const numberOfTrees: Int = 100,
         @PythonName("learning_rate") const learningRate: Float = 0.1
@@ -78,7 +78,7 @@ This classifier is not modified.
 
 ??? quote "Source code in `gradient_boosting.sdsstub`"
 
-    ```sds linenums="40"
+    ```sds linenums="39"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/classification/KNearestNeighborsClassifier.md b/docs/stdlib/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
index 4b7492126..01e307006 100644
--- a/docs/stdlib/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
+++ b/docs/stdlib/safeds/ml/classical/classification/KNearestNeighborsClassifier.md
@@ -12,7 +12,7 @@ K-nearest-neighbors classification.
 
 ??? quote "Source code in `k_nearest_neighbors.sdsstub`"
 
-    ```sds linenums="13"
+    ```sds linenums="12"
     class KNearestNeighborsClassifier(
         @PythonName("number_of_neighbors") const numberOfNeighbors: Int
     ) sub Classifier where {
@@ -65,7 +65,7 @@ This classifier is not modified.
 
 ??? quote "Source code in `k_nearest_neighbors.sdsstub`"
 
-    ```sds linenums="32"
+    ```sds linenums="31"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/classification/LogisticRegressionClassifier.md b/docs/stdlib/safeds/ml/classical/classification/LogisticRegressionClassifier.md
index f72f8b6a2..fc7b69854 100644
--- a/docs/stdlib/safeds/ml/classical/classification/LogisticRegressionClassifier.md
+++ b/docs/stdlib/safeds/ml/classical/classification/LogisticRegressionClassifier.md
@@ -6,7 +6,7 @@ Regularized logistic regression.
 
 ??? quote "Source code in `logistic_regression.sdsstub`"
 
-    ```sds linenums="10"
+    ```sds linenums="9"
     class LogisticRegressionClassifier() sub Classifier {
         /**
          * Create a copy of this classifier and fit it with the given training data.
@@ -44,7 +44,7 @@ This classifier is not modified.
 
 ??? quote "Source code in `logistic_regression.sdsstub`"
 
-    ```sds linenums="20"
+    ```sds linenums="19"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/classification/RandomForestClassifier.md b/docs/stdlib/safeds/ml/classical/classification/RandomForestClassifier.md
index 16646b85a..3aba56d0f 100644
--- a/docs/stdlib/safeds/ml/classical/classification/RandomForestClassifier.md
+++ b/docs/stdlib/safeds/ml/classical/classification/RandomForestClassifier.md
@@ -12,7 +12,7 @@ Random forest classification.
 
 ??? quote "Source code in `random_forest.sdsstub`"
 
-    ```sds linenums="12"
+    ```sds linenums="11"
     class RandomForestClassifier(
         @PythonName("number_of_trees") const numberOfTrees: Int = 100
     ) sub Classifier where {
@@ -65,7 +65,7 @@ This classifier is not modified.
 
 ??? quote "Source code in `random_forest.sdsstub`"
 
-    ```sds linenums="31"
+    ```sds linenums="30"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/classification/SupportVectorMachineClassifier.md b/docs/stdlib/safeds/ml/classical/classification/SupportVectorMachineClassifier.md
index f2afbfe77..fc66fe696 100644
--- a/docs/stdlib/safeds/ml/classical/classification/SupportVectorMachineClassifier.md
+++ b/docs/stdlib/safeds/ml/classical/classification/SupportVectorMachineClassifier.md
@@ -13,7 +13,7 @@ Support vector machine.
 
 ??? quote "Source code in `support_vector_machine.sdsstub`"
 
-    ```sds linenums="13"
+    ```sds linenums="12"
     class SupportVectorMachineClassifier(
         const c: Float = 1.0,
         kernel: SupportVectorMachineClassifier.Kernel = SupportVectorMachineClassifier.Kernel.RadialBasisFunction
@@ -104,7 +104,7 @@ This classifier is not modified.
 
 ??? quote "Source code in `support_vector_machine.sdsstub`"
 
-    ```sds linenums="64"
+    ```sds linenums="63"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
@@ -117,7 +117,7 @@ The kernel functions that can be used in the support vector machine.
 
 ??? quote "Source code in `support_vector_machine.sdsstub`"
 
-    ```sds linenums="22"
+    ```sds linenums="21"
     enum Kernel {
         /**
          * A linear kernel.
diff --git a/docs/stdlib/safeds/ml/classical/regression/AdaBoostRegressor.md b/docs/stdlib/safeds/ml/classical/regression/AdaBoostRegressor.md
index 87ace8f02..2d28e644f 100644
--- a/docs/stdlib/safeds/ml/classical/regression/AdaBoostRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/AdaBoostRegressor.md
@@ -14,7 +14,7 @@ Ada Boost regression.
 
 ??? quote "Source code in `ada_boost.sdsstub`"
 
-    ```sds linenums="16"
+    ```sds linenums="15"
     class AdaBoostRegressor(
         learner: Regressor = DecisionTreeRegressor(),
         @PythonName("maximum_number_of_learners") const maximumNumberOfLearners: Int = 50,
@@ -90,7 +90,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `ada_boost.sdsstub`"
 
-    ```sds linenums="46"
+    ```sds linenums="45"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/DecisionTreeRegressor.md b/docs/stdlib/safeds/ml/classical/regression/DecisionTreeRegressor.md
index 4429d0b1a..1bbf21521 100644
--- a/docs/stdlib/safeds/ml/classical/regression/DecisionTreeRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/DecisionTreeRegressor.md
@@ -6,7 +6,7 @@ Decision tree regression.
 
 ??? quote "Source code in `decision_tree.sdsstub`"
 
-    ```sds linenums="10"
+    ```sds linenums="9"
     class DecisionTreeRegressor() sub Regressor {
         /**
          * Create a copy of this regressor and fit it with the given training data.
@@ -44,7 +44,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `decision_tree.sdsstub`"
 
-    ```sds linenums="20"
+    ```sds linenums="19"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/ElasticNetRegressor.md b/docs/stdlib/safeds/ml/classical/regression/ElasticNetRegressor.md
index 16f025ecd..8ddcb56ec 100644
--- a/docs/stdlib/safeds/ml/classical/regression/ElasticNetRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/ElasticNetRegressor.md
@@ -13,7 +13,7 @@ Elastic net regression.
 
 ??? quote "Source code in `elastic_net_regression.sdsstub`"
 
-    ```sds linenums="14"
+    ```sds linenums="13"
     class ElasticNetRegressor(
         const alpha: Float = 1.0,
         @PythonName("lasso_ratio") const lassoRatio: Float = 0.5
@@ -79,7 +79,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `elastic_net_regression.sdsstub`"
 
-    ```sds linenums="40"
+    ```sds linenums="39"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/GradientBoostingRegressor.md b/docs/stdlib/safeds/ml/classical/regression/GradientBoostingRegressor.md
index 49213cb07..90e34bc22 100644
--- a/docs/stdlib/safeds/ml/classical/regression/GradientBoostingRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/GradientBoostingRegressor.md
@@ -13,7 +13,7 @@ Gradient boosting regression.
 
 ??? quote "Source code in `gradient_boosting.sdsstub`"
 
-    ```sds linenums="15"
+    ```sds linenums="14"
     class GradientBoostingRegressor(
         @PythonName("number_of_trees") const numberOfTrees: Int = 100,
         @PythonName("learning_rate") const learningRate: Float = 0.1
@@ -78,7 +78,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `gradient_boosting.sdsstub`"
 
-    ```sds linenums="40"
+    ```sds linenums="39"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/KNearestNeighborsRegressor.md b/docs/stdlib/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
index fe4890886..d52a10f68 100644
--- a/docs/stdlib/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/KNearestNeighborsRegressor.md
@@ -12,7 +12,7 @@ K-nearest-neighbors regression.
 
 ??? quote "Source code in `k_nearest_neighbors.sdsstub`"
 
-    ```sds linenums="13"
+    ```sds linenums="12"
     class KNearestNeighborsRegressor(
         @PythonName("number_of_neighbors") const numberOfNeighbors: Int
     ) sub Regressor where {
@@ -65,7 +65,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `k_nearest_neighbors.sdsstub`"
 
-    ```sds linenums="32"
+    ```sds linenums="31"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/LassoRegressor.md b/docs/stdlib/safeds/ml/classical/regression/LassoRegressor.md
index 4454d91db..0defefe30 100644
--- a/docs/stdlib/safeds/ml/classical/regression/LassoRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/LassoRegressor.md
@@ -12,7 +12,7 @@ Lasso regression.
 
 ??? quote "Source code in `lasso_regression.sdsstub`"
 
-    ```sds linenums="12"
+    ```sds linenums="11"
     class LassoRegressor(
         const alpha: Float = 1.0
     ) sub Regressor where {
@@ -65,7 +65,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `lasso_regression.sdsstub`"
 
-    ```sds linenums="31"
+    ```sds linenums="30"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/LinearRegressionRegressor.md b/docs/stdlib/safeds/ml/classical/regression/LinearRegressionRegressor.md
index e25c09a53..7e7eca34a 100644
--- a/docs/stdlib/safeds/ml/classical/regression/LinearRegressionRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/LinearRegressionRegressor.md
@@ -6,7 +6,7 @@ Linear regression.
 
 ??? quote "Source code in `linear_regression.sdsstub`"
 
-    ```sds linenums="10"
+    ```sds linenums="9"
     class LinearRegressionRegressor() sub Regressor {
         /**
          * Create a copy of this regressor and fit it with the given training data.
@@ -44,7 +44,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `linear_regression.sdsstub`"
 
-    ```sds linenums="20"
+    ```sds linenums="19"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/RandomForestRegressor.md b/docs/stdlib/safeds/ml/classical/regression/RandomForestRegressor.md
index 4de421cdc..456a45de6 100644
--- a/docs/stdlib/safeds/ml/classical/regression/RandomForestRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/RandomForestRegressor.md
@@ -12,7 +12,7 @@ Random forest regression.
 
 ??? quote "Source code in `random_forest.sdsstub`"
 
-    ```sds linenums="12"
+    ```sds linenums="11"
     class RandomForestRegressor(
         @PythonName("number_of_trees") const numberOfTrees: Int = 100
     ) sub Regressor where {
@@ -65,7 +65,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `random_forest.sdsstub`"
 
-    ```sds linenums="31"
+    ```sds linenums="30"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/RidgeRegressor.md b/docs/stdlib/safeds/ml/classical/regression/RidgeRegressor.md
index 1b11544fc..1a93a9865 100644
--- a/docs/stdlib/safeds/ml/classical/regression/RidgeRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/RidgeRegressor.md
@@ -12,7 +12,7 @@ Ridge regression.
 
 ??? quote "Source code in `ridge_regression.sdsstub`"
 
-    ```sds linenums="12"
+    ```sds linenums="11"
     class RidgeRegressor(
         const alpha: Float = 1.0
     ) sub Regressor where {
@@ -65,7 +65,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `ridge_regression.sdsstub`"
 
-    ```sds linenums="31"
+    ```sds linenums="30"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
diff --git a/docs/stdlib/safeds/ml/classical/regression/SupportVectorMachineRegressor.md b/docs/stdlib/safeds/ml/classical/regression/SupportVectorMachineRegressor.md
index f6f861a14..479700e72 100644
--- a/docs/stdlib/safeds/ml/classical/regression/SupportVectorMachineRegressor.md
+++ b/docs/stdlib/safeds/ml/classical/regression/SupportVectorMachineRegressor.md
@@ -13,7 +13,7 @@ Support vector machine.
 
 ??? quote "Source code in `support_vector_machine.sdsstub`"
 
-    ```sds linenums="13"
+    ```sds linenums="12"
     class SupportVectorMachineRegressor(
         const c: Float = 1.0,
         kernel: SupportVectorMachineRegressor.Kernel = SupportVectorMachineRegressor.Kernel.RadialBasisFunction
@@ -104,7 +104,7 @@ This regressor is not modified.
 
 ??? quote "Source code in `support_vector_machine.sdsstub`"
 
-    ```sds linenums="64"
+    ```sds linenums="63"
     @Pure
     fun fit(
         @PythonName("training_set") trainingSet: TaggedTable
@@ -117,7 +117,7 @@ The kernel functions that can be used in the support vector machine.
 
 ??? quote "Source code in `support_vector_machine.sdsstub`"
 
-    ```sds linenums="22"
+    ```sds linenums="21"
     enum Kernel {
         /**
          * A linear kernel.
diff --git a/docs/stdlib/safeds/ml/nn/NeuralNetworkClassifier.md b/docs/stdlib/safeds/ml/nn/NeuralNetworkClassifier.md
index e8ab9bf99..e5a7fabb3 100644
--- a/docs/stdlib/safeds/ml/nn/NeuralNetworkClassifier.md
+++ b/docs/stdlib/safeds/ml/nn/NeuralNetworkClassifier.md
@@ -8,7 +8,7 @@
 
 ??? quote "Source code in `classifier.sdsstub`"
 
-    ```sds linenums="7"
+    ```sds linenums="6"
     class NeuralNetworkClassifier(
         layers: List<FNNLayer>
     ) {
@@ -88,7 +88,7 @@ The original model is not modified.
 
 ??? quote "Source code in `classifier.sdsstub`"
 
-    ```sds linenums="28"
+    ```sds linenums="27"
     @Pure
     fun fit(
         @PythonName("train_data") trainData: TaggedTable,
@@ -122,7 +122,7 @@ The original Model is not modified.
 
 ??? quote "Source code in `classifier.sdsstub`"
 
-    ```sds linenums="49"
+    ```sds linenums="48"
     @Pure
     fun predict(
         @PythonName("test_data") testData: Table
diff --git a/docs/stdlib/safeds/ml/nn/NeuralNetworkRegressor.md b/docs/stdlib/safeds/ml/nn/NeuralNetworkRegressor.md
index b2e1e4aa2..f8a5f759c 100644
--- a/docs/stdlib/safeds/ml/nn/NeuralNetworkRegressor.md
+++ b/docs/stdlib/safeds/ml/nn/NeuralNetworkRegressor.md
@@ -4,13 +4,13 @@
 
 | Name | Type | Description | Default |
 |------|------|-------------|---------|
-| `layers` | [`List<Any>`][safeds.lang.List] | - | - |
+| `layers` | [`List<FNNLayer>`][safeds.lang.List] | - | - |
 
 ??? quote "Source code in `regressor.sdsstub`"
 
-    ```sds linenums="7"
+    ```sds linenums="6"
     class NeuralNetworkRegressor(
-        layers: List<Any>
+        layers: List<FNNLayer>
     ) {
         /**
          * Check if the model is fitted.
@@ -88,7 +88,7 @@ The original model is not modified.
 
 ??? quote "Source code in `regressor.sdsstub`"
 
-    ```sds linenums="28"
+    ```sds linenums="27"
     @Pure
     fun fit(
         @PythonName("train_data") trainData: TaggedTable,
@@ -122,7 +122,7 @@ The original Model is not modified.
 
 ??? quote "Source code in `regressor.sdsstub`"
 
-    ```sds linenums="49"
+    ```sds linenums="48"
     @Pure
     fun predict(
         @PythonName("test_data") testData: Table