some typo

python-package/lightgbm/basic.py

@@ -19,7 +19,7 @@ def _load_lib():
     """Load LightGBM Library."""
     lib_path = find_lib_path()
     if len(lib_path) == 0:
-        return None
+        raise Exception("cannot find LightGBM library")
     lib = ctypes.cdll.LoadLibrary(lib_path[0])
     lib.LGBM_GetLastError.restype = ctypes.c_char_p
     return lib
@@ -1034,7 +1034,7 @@ class Booster(object):
                 if data is self.valid_sets[i]:
                     data_idx = i + 1
                     break
-        """need push new valid data"""
+        """need to push new valid data"""
         if data_idx == -1:
             self.add_valid(data, name)
             data_idx = self.__num_dataset - 1

python-package/lightgbm/callback.py

@@ -130,7 +130,7 @@ def reset_learning_rate(learning_rates):
 
 
 def early_stop(stopping_rounds, verbose=True):
-    """Create a callback that activates early stoppping.
+    """Create a callback that activates early stopping.
     Activates early stopping. 
     Requires at least one validation data and one metric
     If there's more than one, will check all of them

python-package/lightgbm/sklearn.py

@@ -64,7 +64,7 @@ def _point_wise_objective(func):
                 num_data = len(weight)
                 num_class = len(grad) // num_data
                 if num_class * num_data != len(grad):
-                    raise ValueError("lenght of grad and hess should equal with num_class * num_data")
+                    raise ValueError("length of grad and hess should equal with num_class * num_data")
                 for k in range(num_class):
                     for i in range(num_data):
                         idx = k * num_data + i
@@ -81,7 +81,7 @@ class LGBMModel(LGBMModelBase):
     num_leaves : int
         Maximum tree leaves for base learners.
     max_depth : int
-        Maximum tree depth for base learners, -1 means not limit. 
+        Maximum tree depth for base learners, -1 means no limit. 
     learning_rate : float
         Boosting learning rate 
     n_estimators : int