updated params aliases in Python (#1549)

python-package/lightgbm/basic.py

@@ -1370,8 +1370,9 @@ class Booster(object):
             self.__get_eval_info()
             self.pandas_categorical = train_set.pandas_categorical
             # set network if necessary
-            if "machines" in params:
-                machines = params["machines"]
+            for alias in ["machines", "workers", "nodes"]:
+                if alias in params:
+                    machines = params[alias]
                     if isinstance(machines, string_type):
                         num_machines = len(machines.split(','))
                     elif isinstance(machines, (list, set)):
@@ -1383,6 +1384,7 @@ class Booster(object):
                                      local_listen_port=params.get("local_listen_port", 12400),
                                      listen_time_out=params.get("listen_time_out", 120),
                                      num_machines=params.get("num_machines", num_machines))
+                    break
         elif model_file is not None:
             # Prediction task
             out_num_iterations = ctypes.c_int(0)
@@ -1521,7 +1523,7 @@ class Booster(object):
         params : dict
             New parameters for Booster.
         """
-        if 'metric' in params:
+        if any(metric_alias in params for metric_alias in ('metric', 'metrics', 'metric_types')):
             self.__need_reload_eval_info = True
         params_str = param_dict_to_str(params)
         if params_str:

python-package/lightgbm/callback.py

@@ -127,7 +127,9 @@ def reset_parameter(**kwargs):
         """internal function"""
         new_parameters = {}
         for key, value in kwargs.items():
-            if key in ['num_class', 'boosting_type', 'metric']:
+            if key in ['num_class', 'num_classes',
+                       'boosting', 'boost', 'boosting_type',
+                       'metric', 'metrics', 'metric_types']:
                 raise RuntimeError("cannot reset {} during training".format(repr(key)))
             if isinstance(value, list):
                 if len(value) != env.end_iteration - env.begin_iteration: