diff --git a/docs/index.rst b/docs/index.rst
index e47e9fc5f..f56acbfb5 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -24,8 +24,9 @@ AutoML
 Tune
 ------
 
-.. automodule:: flaml.tune
-   :members:
+.. autofunction:: flaml.tune.run
+
+.. autofunction:: flaml.tune.report
 
 .. autoclass:: flaml.BlendSearch
    :members:
diff --git a/flaml/ml.py b/flaml/ml.py
index 90093cf2b..76f053355 100644
--- a/flaml/ml.py
+++ b/flaml/ml.py
@@ -258,7 +258,7 @@ def train_estimator(X_train, y_train, config_dic, task,
      n_jobs=n_jobs)
     if X_train is not None:
         train_time = train_model(estimator, X_train, y_train, budget,
-            **fit_kwargs)
+            fit_kwargs)
     else:
         estimator = estimator.estimator_class(**estimator.params)
     train_time = time.time() - start_time
diff --git a/flaml/searcher/blendsearch.py b/flaml/searcher/blendsearch.py
index 97d12bd7b..adca20c56 100644
--- a/flaml/searcher/blendsearch.py
+++ b/flaml/searcher/blendsearch.py
@@ -396,15 +396,15 @@ class BlendSearch(Searcher):
 
 class CFO(BlendSearch):
     ''' class for CFO algorithm
-    Number of threads is 1 or 2. Thread 0 is a vacuous thread.
     '''
 
     __name__ = 'CFO'
 
     def suggest(self, trial_id: str) -> Optional[Dict]:
+        # Number of threads is 1 or 2. Thread 0 is a vacuous thread
         assert len(self._search_thread_pool)<3, len(self._search_thread_pool)
         if len(self._search_thread_pool) < 2:
-            # When a local converges, the number of threads is 1. 
+            # When a local converges, the number of threads is 1
             # Need to restart
             self._init_used = False
         return super().suggest(trial_id)