diff --git a/pipe/transform.py b/pipe/transform.py
index 8bcb616..a66461b 100644
--- a/pipe/transform.py
+++ b/pipe/transform.py
@@ -80,22 +80,6 @@ def onehot(dataframe: DataFrame, keys: list) -> DataFrame:
         result = result.withColumnRenamed(column_name, f"{column_name}_str")
         result = result.withColumnRenamed(f"{column_name}_encoded", column_name)
 
-    """
-    bundle = {key: [
-        arr.tolist()
-        for arr in OneHotEncoder(sparse_output=False) \
-            .fit_transform(dataframe.select(key).collect())
-        ] for key in keys
-    }
-
-    bundle = [dict(zip(bundle.keys(), values))
-              for values in zip(*bundle.values())]
-    schema = types.StructType([
-        types.StructField(key, types.ArrayType(types.FloatType()), True)
-        for key in keys
-    ])
-
-    return bundle, schema"""
     return result
 
 def transform(spark: SparkSession, dataframe: DataFrame, keys: list) \
@@ -107,16 +91,6 @@ def transform(spark: SparkSession, dataframe: DataFrame, keys: list) \
             "index", functions.monotonically_increasing_id()
     )
 
-    """
-    bundle, schema = onehot(dataframe, keys)
-    newframe = spark.createDataFrame(bundle, schema=schema).withColumn(
-            "index", functions.monotonically_increasing_id()
-    )
-
-    for key in keys:
-        dataframe = dataframe.withColumnRenamed(key, f"{key}_str")
-    dataframe = dataframe.join(newframe, on="index", how="inner")
-    """
     dataframe = onehot(dataframe, keys)
 
     return dataframe