Fix typos in python package (#7432)

python-package/xgboost/callback.py

@@ -512,7 +512,7 @@ class TrainingCheckPoint(TrainingCallback):
         pattern of output model file.  Models will be saved as name_0.json, name_1.json,
         name_2.json ....
     as_pickle :
-        When set to Ture, all training parameters will be saved in pickle format, instead
+        When set to True, all training parameters will be saved in pickle format, instead
         of saving only the model.
     iterations :
         Interval of checkpointing.  Checkpointing is slow so setting a larger number can

python-package/xgboost/core.py

@@ -458,7 +458,7 @@ def _deprecate_positional_args(f):
     Using the keyword-only argument syntax in pep 3102, arguments after the
     * will issue a warning when passed as a positional argument.
 
-    Modifed from sklearn utils.validation.
+    Modified from sklearn utils.validation.
 
     Parameters
     ----------
@@ -2411,7 +2411,7 @@ class Booster:
                 arr = line.split('[')
                 # Leaf node
                 if len(arr) == 1:
-                    # Last element of line.split is an empy string
+                    # Last element of line.split is an empty string
                     if arr == ['']:
                         continue
                     # parse string

python-package/xgboost/dask.py

@@ -166,7 +166,7 @@ def _assert_dask_support() -> None:
 
 
 class RabitContext:
-    '''A context controling rabit initialization and finalization.'''
+    '''A context controlling rabit initialization and finalization.'''
     def __init__(self, args: List[bytes]) -> None:
         self.args = args
         worker = distributed.get_worker()

python-package/xgboost/rabit.py

@@ -224,5 +224,5 @@ def version_number() -> int:
     return ret
 
 
-# intialization script
+# initialization script
 _init_rabit()

python-package/xgboost/sklearn.py

@@ -312,7 +312,7 @@ def xgboost_model_doc(
     header: str
        An introducion to the class.
     items : list
-       A list of commom doc items.  Available items are:
+       A list of common doc items.  Available items are:
          - estimators: the meaning of n_estimators
          - model: All the other parameters
          - objective: note for customized objective

python-package/xgboost/tracker.py

@@ -208,7 +208,7 @@ class RabitTracker:
 
     def worker_envs(self) -> Dict[str, Union[str, int]]:
         """
-        get enviroment variables for workers
+        get environment variables for workers
         can be passed in as args or envs
         """
         return {'DMLC_TRACKER_URI': self.hostIP,
@@ -286,7 +286,7 @@ class RabitTracker:
         return tree_map_, parent_map_, ring_map_
 
     def accept_workers(self, n_workers: int) -> None:
-        # set of nodes that finishs the job
+        # set of nodes that finishes the job
         shutdown: Dict[int, WorkerEntry] = {}
         # set of nodes that is waiting for connections
         wait_conn: Dict[int, WorkerEntry] = {}
@@ -425,7 +425,7 @@ def main() -> None:
     """Main function if tracker is executed in standalone mode."""
     parser = argparse.ArgumentParser(description='Rabit Tracker start.')
     parser.add_argument('--num-workers', required=True, type=int,
-                        help='Number of worker proccess to be launched.')
+                        help='Number of worker process to be launched.')
     parser.add_argument(
         '--num-servers', default=0, type=int,
         help='Number of server process to be launched. Only used in PS jobs.'