fix punctuational mistakes. (#259)

Author: 2Bear

paddlets/datasets/tsdataset.py

@@ -714,7 +714,7 @@ def __getattr__(self, name: str) -> Callable:
         (Only analysis operators are currently integrated, and other types of operators may be integrated in the future)
 
         Args:
-            name(str): operator name， eg: summary、max、min
+            name(str): operator name, eg: summary、max、min
 
         Returns:
             Callable: operator funtion
@@ -1582,7 +1582,7 @@ def __setitem__(
         
         Args:   
             column(str|int): column name
-            value(pd.Series|str|int): columns object，Its index must be the same as the index of the target property,
+            value(pd.Series|str|int): columns object, Its index must be the same as the index of the target property,
                 the value can only be int or str when updating a column in static_cov
 
         Returns:

paddlets/models/anomaly/dl/adapter/paddle_dataset_impl.py

@@ -135,7 +135,7 @@ def _build_samples(self) -> List[Dict[str, np.ndarray]]:
                     "target": None,
                     "known_cov": None,
                     "observed_cov": [
-                        [0， 0.0, 0],
+                        [0, 0.0, 0],
                         [1, 10.0, 100],
                         [2, 20.0, 200],
                         [3, 30.0, 300],

paddlets/models/anomaly/ml/adapter/ml_dataset.py

@@ -132,7 +132,7 @@ def _build_samples(self) -> List[Dict[str, np.ndarray]]:
                     "target": None,
                     "known_cov": None,
                     "observed_cov": [
-                        [0， 0.0, 0],
+                        [0, 0.0, 0],
                         [1, 10.0, 100],
                         [2, 20.0, 200],
                         [3, 30.0, 300],

paddlets/models/forecasting/ml/adapter/ml_dataset.py

@@ -505,7 +505,7 @@ def _build_samples(self) -> List[Dict[str, np.ndarray]]:
                         # Note: np.NaN is float, cannot be converted to np.int64, so if the input tsdataset needs to
                         # be lag-transformed, in case if the original lagged column.dtype = int, then after lag
                         # transform, it must be another INT-convertible number rather than a np.NaN.
-                        [0，int_convertible_num, NaN],
+                        [0, int_convertible_num, NaN],
                         [-1, 0, 0.0],
                         [-2, 1, 10.0],
                         [-3, 2, 20.0],