classifiers: usability updates

- add IterationResult-level classifiers that get merged into every
  added metric (saves having to pass the same classifiers to each
  metric added).
- Added a global alias to csv result processor's  use_all_classifiers
  attribute.

wlauto/core/result.py

@@ -44,7 +44,7 @@ from datetime import datetime
 from wlauto.core.extension import Extension
 from wlauto.exceptions import WAError
 from wlauto.utils.types import numeric
-from wlauto.utils.misc import enum_metaclass
+from wlauto.utils.misc import enum_metaclass, merge_dicts
 
 
 class ResultManager(object):
@@ -260,8 +260,11 @@ class IterationResult(object):
         self.events = []
         self.metrics = []
         self.artifacts = []
+        self.classifiers = {}
 
     def add_metric(self, name, value, units=None, lower_is_better=False, classifiers=None):
+        classifiers = merge_dicts(self.classifiers, classifiers or {},
+                                  list_duplicates='last', should_normalize=False)
         self.metrics.append(Metric(name, value, units, lower_is_better, classifiers))
 
     def has_metric(self, name):

wlauto/result_processors/standard.py

@@ -67,6 +67,7 @@ class CsvReportProcessor(ResultProcessor):
 
     parameters = [
         Parameter('use_all_classifiers', kind=bool, default=False,
+                  global_alias='use_all_classifiers',
                   description="""
                   If set to ``True``, this will add a column for every classifier
                   that features in at least one collected metric.