Revert method names in .samples/* (#7)

src/mlrose_ky/samples/synthetic_data.py

@@ -16,15 +16,15 @@ class SyntheticDataGenerator:
 
     Parameters
     ----------
-    seed : int
+    seed : int, optional, default=42
         Random seed for reproducibility.
-    root_directory : str, optional
-        Directory to save the generated data, by default None.
+    root_directory : str, optional, default=None
+        Directory to save the generated data.
     """
 
-    def __init__(self, seed: int, root_directory: str | None = None):
-        self.seed = seed
-        self.root_directory = root_directory
+    def __init__(self, seed: int = 42, root_directory: str | None = None):
+        self.seed: int = seed
+        self.root_directory: str | None = root_directory
 
     @staticmethod
     def get_synthetic_features_and_classes(with_redundant_column: bool = False) -> tuple[list[str], list[str]]:
@@ -33,8 +33,8 @@ def get_synthetic_features_and_classes(with_redundant_column: bool = False) -> t
 
         Parameters
         ----------
-        with_redundant_column : bool, optional
-            Whether to include a redundant column, by default False.
+        with_redundant_column : bool, optional, default=False
+            Whether to include a redundant column.
 
         Returns
         -------
@@ -71,7 +71,7 @@ def get_synthetic_data(
         tuple[np.ndarray, list[str], list[str], str | None]
             A tuple containing the synthetic data, feature names, class labels, and output directory.
         """
-        synthetic_data = self._create_synthetic_data(x_dim, y_dim, add_noise, add_redundant_column)
+        synthetic_data = self.__create_synthetic_data(x_dim, y_dim, add_noise, add_redundant_column)
         synthetic_data_array = synthetic_data.values
 
         output_directory = None
@@ -86,6 +86,7 @@ def get_synthetic_data(
                 pass
 
         features, classes = self.get_synthetic_features_and_classes(add_redundant_column)
+
         return synthetic_data_array, features, classes, output_directory
 
     def setup_synthetic_data_test_train(
@@ -119,7 +120,7 @@ def setup_synthetic_data_test_train(
 
         return x, y, x_train, x_test, y_train, y_test
 
-    def _create_synthetic_data(self, x_dim: int, y_dim: int, add_noise: float = 0.0, add_redundant_column: bool = False) -> pd.DataFrame:
+    def __create_synthetic_data(self, x_dim: int, y_dim: int, add_noise: float = 0.0, add_redundant_column: bool = False) -> pd.DataFrame:
         """
         Create synthetic data.