changed name of function

Author: janvanrijn

openml/flows/__init__.py

@@ -1,5 +1,5 @@
 from .flow import OpenMLFlow
-from .sklearn_converter import sklearn_to_flow, flow_to_sklearn,  model_is_paralizable
+from .sklearn_converter import sklearn_to_flow, flow_to_sklearn,  model_single_core
 from .functions import get_flow, list_flows, flow_exists
 
 __all__ = ['OpenMLFlow', 'create_flow_from_model', 'get_flow', 'list_flows',

openml/flows/sklearn_converter.py

@@ -536,7 +536,11 @@ def _serialize_cross_validator(o):
 
     return ret
 
-def model_is_paralizable(model):
+def model_single_core(model):
+    '''
+    Returns True if the parameter settings of model are chosen s.t. the model
+     will run on a single core (in that case, openml-python can measure runtimes)
+    '''
     def check(param_dict):
         for param, value in param_dict.items():
             # n_jobs is scikitlearn parameter for paralizing jobs

openml/runs/functions.py

@@ -10,7 +10,7 @@
 
 from ..exceptions import PyOpenMLError
 from .. import config
-from ..flows import sklearn_to_flow, get_flow, flow_exists, model_is_paralizable
+from ..flows import sklearn_to_flow, get_flow, flow_exists, model_single_core
 from ..setups import setup_exists
 from ..exceptions import OpenMLCacheException, OpenMLServerException
 from ..util import URLError, version_complies
@@ -160,7 +160,7 @@ def _run_task_get_arffcontent(model, task, class_labels):
     user_defined_measures = defaultdict(lambda: defaultdict(dict))
 
     rep_no = 0
-    can_measure_runtime = version_complies(3, 3) and model_is_paralizable(model)
+    can_measure_runtime = version_complies(3, 3) and model_single_core(model)
     # TODO use different iterator to only provide a single iterator (less
     # methods, less maintenance, less confusion)
     for rep in task.iterate_repeats():

tests/test_flows/test_sklearn.py

@@ -26,7 +26,7 @@
 
 from openml.flows import OpenMLFlow, sklearn_to_flow, flow_to_sklearn
 from openml.flows.sklearn_converter import _format_external_version, \
-    _check_dependencies, model_is_paralizable
+    _check_dependencies, model_single_core
 from openml.exceptions import PyOpenMLError
 
 this_directory = os.path.dirname(os.path.abspath(__file__))
@@ -570,4 +570,4 @@ def test_paralizable_check(self):
         answers = [True, False, False, True, False, False]
 
         for i in range(len(models)):
-            assert(model_is_paralizable(models[i]) == answers[i])
+            assert(model_single_core(models[i]) == answers[i])