QLibDataHandlerClose is renamed to Alpha158

docs/component/data.rst

@@ -207,14 +207,14 @@ Example
 
 Know more about how to run ``Data Handler`` with ``Estimator``, please refer to `Estimator: Workflow Management <estimator.html>`_
 
-Qlib provides implemented data handler `QLibDataHandlerClose`. The following example shows how to run `QLibDataHandlerV1` as a single module. 
+Qlib provides implemented data handler `Alpha158`. The following example shows how to run `QLibDataHandlerV1` as a single module.
 
 .. note:: Users need to initialize ``Qlib`` with `qlib.init` first, please refer to `initialization <../start/initialization.html>`_.
 
 
 .. code-block:: Python
 
-    from qlib.contrib.estimator.handler import QLibDataHandlerClose
+    from qlib.contrib.estimator.handler import Alpha158
     from qlib.contrib.model.gbdt import LGBModel
 
     DATA_HANDLER_CONFIG = {
@@ -233,7 +233,7 @@ Qlib provides implemented data handler `QLibDataHandlerClose`. The following exa
         "test_end_date": "2020-08-01",
     }
 
-    exampleDataHandler = QLibDataHandlerClose(**DATA_HANDLER_CONFIG)
+    exampleDataHandler = Alpha158(**DATA_HANDLER_CONFIG)
 
     # example of 'get_split_data'
     x_train, y_train, x_validate, y_validate, x_test, y_test = exampleDataHandler.get_split_data(**TRAINER_CONFIG)

docs/component/estimator.rst

@@ -50,7 +50,7 @@ Below is a typical config file of ``Estimator``.
         num_leaves: 210
         num_threads: 20
     data:
-      class: QLibDataHandlerClose
+      class: Alpha158
       args:
         dropna_label: True
       filter:
@@ -291,7 +291,7 @@ Users can use the specified data handler by config as follows.
 .. code-block:: YAML
 
     data:
-        class: QLibDataHandlerClose
+        class: Alpha158
         args:
             start_date: 2005-01-01
             end_date: 2018-04-30  

docs/component/model.rst

@@ -121,7 +121,7 @@ Example
 - Run the following code to get the `prediction score` `pred_score`
     .. code-block:: Python
 
-        from qlib.contrib.estimator.handler import QLibDataHandlerClose
+        from qlib.contrib.estimator.handler import Alpha158
         from qlib.contrib.model.gbdt import LGBModel
 
         DATA_HANDLER_CONFIG = {
@@ -140,7 +140,7 @@ Example
             "test_end_date": "2020-08-01",
         }
 
-        x_train, y_train, x_validate, y_validate, x_test, y_test = QLibDataHandlerClose(
+        x_train, y_train, x_validate, y_validate, x_test, y_test = Alpha158(
             **DATA_HANDLER_CONFIG
         ).get_split_data(**TRAINER_CONFIG)
 
@@ -163,7 +163,7 @@ Example
         pred_score = pd.DataFrame(index=_pred.index)
         pred_score["score"] = _pred.iloc(axis=1)[0]
 
-    .. note:: `QLibDataHandlerClose` is the data handler provided by ``Qlib``, please refer to `Data Handler <data.html#data-handler>`_.
+    .. note:: `Alpha158` is the data handler provided by ``Qlib``, please refer to `Data Handler <data.html#data-handler>`_.
 
 Also, the above example has been given in ``examples/train_backtest_analyze.ipynb``.