Add filter_pipe API

qlib/contrib/data/handler.py

@@ -54,6 +54,7 @@ class Alpha360(DataHandlerLP):
         learn_processors=_DEFAULT_LEARN_PROCESSORS,
         fit_start_time=None,
         fit_end_time=None,
+        filter_pipe=None,
         **kwargs,
     ):
         infer_processors = check_transform_proc(infer_processors, fit_start_time, fit_end_time)
@@ -66,6 +67,7 @@ class Alpha360(DataHandlerLP):
                     "feature": self.get_feature_config(),
                     "label": kwargs.get("label", self.get_label_config()),
                 },
+                "filter_pipe": filter_pipe,
             },
         }
 
@@ -138,6 +140,7 @@ class Alpha158(DataHandlerLP):
         fit_start_time=None,
         fit_end_time=None,
         process_type=DataHandlerLP.PTYPE_A,
+        filter_pipe=None,
         **kwargs,
     ):
         infer_processors = check_transform_proc(infer_processors, fit_start_time, fit_end_time)
@@ -146,7 +149,11 @@ class Alpha158(DataHandlerLP):
         data_loader = {
             "class": "QlibDataLoader",
             "kwargs": {
-                "config": {"feature": self.get_feature_config(), "label": kwargs.get("label", self.get_label_config())},
+                "config": {
+                    "feature": self.get_feature_config(),
+                    "label": kwargs.get("label", self.get_label_config()),
+                },
+                "filter_pipe": filter_pipe,
             },
         }
         super().__init__(

qlib/data/dataset/loader.py

@@ -10,7 +10,9 @@ import pandas as pd
 from typing import Tuple, Union
 
 from qlib.data import D
-from qlib.utils import load_dataset
+from qlib.data import filter as filter_module
+from qlib.data.filter import BaseDFilter
+from qlib.utils import load_dataset, init_instance_by_config
 
 
 class DataLoader(abc.ABC):
@@ -145,6 +147,13 @@ class QlibDataLoader(DLWParser):
         swap_level :
             Whether to swap level of MultiIndex
         """
+        if filter_pipe is not None:
+            assert isinstance(filter_pipe, list), "The type of `filter_pipe` must be list."
+            filter_pipe = [
+                init_instance_by_config(fp, None if "module_path" in fp else filter_module, accept_types=BaseDFilter)
+                for fp in filter_pipe
+            ]
+
         self.filter_pipe = filter_pipe
         self.swap_level = swap_level
         super().__init__(config)