adding headers to some files.

experiments/baselines/__init__.py

@@ -0,0 +1,13 @@
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.

experiments/baselines/timegpt_pipeline.py

@@ -1,3 +1,17 @@
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from typing import List, Optional, Tuple
 import os
 import pandas as pd
@@ -226,6 +240,9 @@ def run_timegpt(
         df=padded_train_df, h=horizon, level=level, freq=freq, chunk_size=chunk_size
     )
     total_time = time() - init_time
+    # In case levels are not returned we replace the levels with the mean predictions.
+    # Note that this does not affect the results table as we only compare on point
+    # forecastign metrics.
     for lvl in level:
         if f"{model.alias}-lo-{lvl}" not in fcsts_df.columns:
             fcsts_df[f"{model.alias}-lo-{lvl}"] = fcsts_df[model.alias]