fix some typo in doc/comments (#1389)

* fix typo in docstrings

* fix typo

* fix typo

* fix black lint

* fix black lint

qlib/workflow/record_temp.py

@@ -30,7 +30,8 @@ class RecordTemp:
     """
 
     artifact_path = None
-    depend_cls = None  # the depend class of the record; the record will depend on the results generated by `depend_cls`
+    depend_cls = None  # the dependant class of the record; the record will depend on the results generated by
+    # `depend_cls`
 
     @classmethod
     def get_path(cls, path=None):
@@ -119,7 +120,7 @@ class RecordTemp:
         Check if the records is properly generated and saved.
         It is useful in following examples
 
-        - checking if the depended files complete before generating new things.
+        - checking if the dependant files complete before generating new things.
         - checking if the final files is completed
 
         Parameters
@@ -186,7 +187,7 @@ class SignalRecord(RecordTemp):
         return raw_label
 
     def generate(self, **kwargs):
-        # generate prediciton
+        # generate prediction
         pred = self.model.predict(self.dataset)
         if isinstance(pred, pd.Series):
             pred = pred.to_frame("score")
@@ -285,7 +286,8 @@ class HFSignalRecord(SignalRecord):
 
 class SigAnaRecord(ACRecordTemp):
     """
-    This is the Signal Analysis Record class that generates the analysis results such as IC and IR. This class inherits the ``RecordTemp`` class.
+    This is the Signal Analysis Record class that generates the analysis results such as IC and IR.
+    This class inherits the ``RecordTemp`` class.
     """
 
     artifact_path = "sig_analysis"
@@ -382,7 +384,7 @@ class PortAnaRecord(ACRecordTemp):
         indicator_analysis_freq : str|List[str]
             indicator analysis freq of report
         indicator_analysis_method : str, optional, default by None
-            the candidated values include 'mean', 'amount_weighted', 'value_weighted'
+            the candidate values include 'mean', 'amount_weighted', 'value_weighted'
         """
         super().__init__(recorder=recorder, skip_existing=skip_existing, **kwargs)
 
@@ -456,9 +458,9 @@ class PortAnaRecord(ACRecordTemp):
         pred = self.load("pred.pkl")
 
         # replace the "<PRED>" with prediction saved before
-        placehorder_value = {"<PRED>": pred}
+        placeholder_value = {"<PRED>": pred}
         for k in "executor_config", "strategy_config":
-            setattr(self, k, fill_placeholder(getattr(self, k), placehorder_value))
+            setattr(self, k, fill_placeholder(getattr(self, k), placeholder_value))
 
         # if the backtesting time range is not set, it will automatically extract time range from the prediction file
         dt_values = pred.index.get_level_values("datetime")