From bde2f0930a8405731bbdf8a1c632853f2e39d9ae Mon Sep 17 00:00:00 2001
From: binbin Deng <108676127+plusbang@users.noreply.github.com>
Date: Fri, 14 Oct 2022 09:58:38 +0800
Subject: [PATCH] Chronos: change import path of `get_public_dataset` (#6075)

* first commit

* fix
---
 .../Chronos/Overview/data_processing_feature_engineering.md | 2 +-
 docs/readthedocs/source/doc/Chronos/Overview/quick-tour.rst | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/readthedocs/source/doc/Chronos/Overview/data_processing_feature_engineering.md b/docs/readthedocs/source/doc/Chronos/Overview/data_processing_feature_engineering.md
index 5a91bf7c..13ab1b51 100644
--- a/docs/readthedocs/source/doc/Chronos/Overview/data_processing_feature_engineering.md
+++ b/docs/readthedocs/source/doc/Chronos/Overview/data_processing_feature_engineering.md
@@ -256,7 +256,7 @@ About `TSDataset`, more details, please refer to [here](../../PythonAPI/Chronos/
 
 ```python
 # load built-in dataset
-from bigdl.chronos.data.repo_dataset import get_public_dataset
+from bigdl.chronos.data import get_public_dataset
 from sklearn.preprocessing import StandardScaler
 tsdata_train, tsdata_val, \
     tsdata_test = get_public_dataset(name='nyc_taxi',
diff --git a/docs/readthedocs/source/doc/Chronos/Overview/quick-tour.rst b/docs/readthedocs/source/doc/Chronos/Overview/quick-tour.rst
index bcfb958a..275b4306 100644
--- a/docs/readthedocs/source/doc/Chronos/Overview/quick-tour.rst
+++ b/docs/readthedocs/source/doc/Chronos/Overview/quick-tour.rst
@@ -133,7 +133,7 @@ To import a specific forecaster, you may use {algorithm name} + "Forecaster", an
 .. code-block:: python
 
     from bigdl.chronos.forecaster import TCNForecaster  # TCN is algorithm name
-    from bigdl.chronos.data.repo_dataset import get_public_dataset
+    from bigdl.chronos.data import get_public_dataset
 
     if __name__ == "__main__":
         # use nyc_taxi public dataset
@@ -159,7 +159,7 @@ For time series forecasting, we also provide an ``AutoTSEstimator`` for distribu
 .. code-block:: python
 
     from bigdl.orca.automl import hp
-    from bigdl.chronos.data.repo_dataset import get_public_dataset
+    from bigdl.chronos.data import get_public_dataset
     from bigdl.chronos.autots import AutoTSEstimator
     from bigdl.orca import init_orca_context, stop_orca_context
     from sklearn.preprocessing import StandardScaler
@@ -230,7 +230,7 @@ To import a specific detector, you may use {algorithm name} + "Detector", and ca
 .. code-block:: python
 
     from bigdl.chronos.detector.anomaly import DBScanDetector  # DBScan is algorithm name
-    from bigdl.chronos.data.repo_dataset import get_public_dataset
+    from bigdl.chronos.data import get_public_dataset
 
     if __name__ == "__main__":
         # use nyc_taxi public dataset