Update docs and delete estimator

qlib/data/dataset/__init__.py

@@ -95,6 +95,7 @@ class DatasetH(Dataset):
             - insntance of `DataHandler`
 
             - config of `DataHandler`.  Please refer to `DataHandler`
+
         segments : list
             Describe the options to segment the data.
             Here are some examples:

qlib/data/dataset/handler.py

@@ -265,30 +265,40 @@ class DataHandlerLP(DataHandler):
         Parameters
         ----------
         infer_processors : list
-            list of <description info> of processors to generate data for inference
-            example of <description info>:
-            1) classname & kwargs:
-                {
-                    "class": "MinMaxNorm",
-                    "kwargs": {
-                        "fit_start_time": "20080101",
-                        "fit_end_time": "20121231"
+            - list of <description info> of processors to generate data for inference
+
+            - example of <description info>:
+
+            .. code-block::
+
+                1) classname & kwargs:
+                    {
+                        "class": "MinMaxNorm",
+                        "kwargs": {
+                            "fit_start_time": "20080101",
+                            "fit_end_time": "20121231"
+                        }
                     }
-                }
-            2) Only classname:
-                "DropnaFeature"
-            3) object instance of Processor
+                2) Only classname:
+                    "DropnaFeature"
+                3) object instance of Processor
 
         learn_processors : list
             similar to infer_processors, but for generating data for learning models
 
         process_type: str
             PTYPE_I = 'independent'
+
             - self._infer will processed by infer_processors
+
             - self._learn will be processed by learn_processors
+
             PTYPE_A = 'append'
+
             - self._infer will processed by infer_processors
+
             - self._learn will be processed by infer_processors + learn_processors
+
               - (e.g. self._infer processed by learn_processors )
         """
 

qlib/data/dataset/loader.py

@@ -23,6 +23,18 @@ class DataLoader(abc.ABC):
         """
         load the data as pd.DataFrame.
 
+        Example of the data (The multi-index of the columns is optional.):
+
+            .. code-block:: python
+
+                                        feature                                                             label
+                                        $close     $volume     Ref($close, 1)  Mean($close, 3)  $high-$low  LABEL0
+                datetime    instrument
+                2010-01-04  SH600000    81.807068  17145150.0       83.737389        83.016739    2.741058  0.0032
+                            SH600004    13.313329  11800983.0       13.313329        13.317701    0.183632  0.0042
+                            SH600005    37.796539  12231662.0       38.258602        37.919757    0.970325  0.0289
+
+
         Parameters
         ----------
         instruments : str or dict
@@ -36,17 +48,6 @@ class DataLoader(abc.ABC):
         -------
         pd.DataFrame:
             data load from the under layer source
-
-            Example of the data (The multi-index of the columns is optional.):
-
-            .. code-block::
-
-                                        feature                                                             label
-                                        $close     $volume     Ref($close, 1)  Mean($close, 3)  $high-$low  LABEL0
-                datetime    instrument
-                2010-01-04  SH600000    81.807068  17145150.0       83.737389        83.016739    2.741058  0.0032
-                            SH600004    13.313329  11800983.0       13.313329        13.317701    0.183632  0.0042
-                            SH600005    37.796539  12231662.0       38.258602        37.919757    0.970325  0.0289
         """
         pass
 
@@ -65,7 +66,7 @@ class DLWParser(DataLoader):
         config : Tuple[list, tuple, dict]
             Config will be used to describe the fields and column names
 
-            .. code-block:: YAML
+            .. code-block::
 
                 <config> := {
                     "group_name1": <fields_info1>