diff --git a/pyproject.toml b/pyproject.toml
index ef60196..705f75a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "synnax-shared"
-version = "1.8.0"
+version = "1.9.0"
 description = "Synnax shared Python pacakges"
 readme = "README.md"
 requires-python = ">=3.11"
diff --git a/src/synnax_shared/data_processing/scaler/linear_scaler.py b/src/synnax_shared/data_processing/scaler/linear_scaler.py
index 73f0924..0411e67 100644
--- a/src/synnax_shared/data_processing/scaler/linear_scaler.py
+++ b/src/synnax_shared/data_processing/scaler/linear_scaler.py
@@ -26,24 +26,24 @@ def __init__(self, offset: float, divisor: float) -> None:
         self.offset = offset
         self.divisor = divisor
 
-    def transform_series(self, series: Series) -> Series:
+    def _transform_series(self, series: Series) -> Series:
         float_series = series.astype(float)
         return (float_series + self.offset) / self.divisor
 
-    def inverse_transform_series(self, series: Series) -> Series:
+    def _inverse_transform_series(self, series: Series) -> Series:
         float_series = series.astype(float)
         return (float_series * self.divisor) - self.offset
 
-    def transform_dataframe(self, dataframe: DataFrame) -> DataFrame:
+    def transform(self, dataframe: DataFrame) -> DataFrame:
         dataframe_copy = dataframe.copy()
         for column in dataframe_copy.select_dtypes(include=[number]):
-            dataframe_copy[column] = self.transform_series(dataframe_copy[column])
+            dataframe_copy[column] = self._transform_series(dataframe_copy[column])
         return dataframe_copy
 
-    def inverse_transform_dataframe(self, dataframe: DataFrame) -> DataFrame:
+    def inverse_transform(self, dataframe: DataFrame) -> DataFrame:
         dataframe_copy = dataframe.copy()
         for column in dataframe_copy.select_dtypes(include=[number]):
-            dataframe_copy[column] = self.inverse_transform_series(
+            dataframe_copy[column] = self._inverse_transform_series(
                 dataframe_copy[column]
             )
         return dataframe_copy