Merge branch 'ms/custom-scalar-metrics' of https://github.com/Labelbox/labelbox-python into ms/metric-notebook

Author: Matt Sokoloff

labelbox/data/serialization/ndjson/label.py

@@ -1,6 +1,5 @@
-import logging
 from itertools import groupby
-from labelbox.data.annotation_types.classification.classification import Dropdown
+
 from labelbox.data.annotation_types.metrics import ScalarMetric
 
 from operator import itemgetter
@@ -14,12 +13,11 @@
 from ...annotation_types.data import ImageData, TextData, VideoData
 from ...annotation_types.label import Label
 from ...annotation_types.ner import TextEntity
+from ...annotation_types.classification import Dropdown
 from .metric import NDScalarMetric, NDMetricAnnotation
 from .classification import NDChecklistSubclass, NDClassification, NDClassificationType, NDRadioSubclass
 from .objects import NDObject, NDObjectType
 
-logger = logging.getLogger(__name__)
-
 
 class NDLabel(BaseModel):
     annotations: List[Union[NDObjectType, NDClassificationType, NDScalarMetric]]

tests/data/metrics/iou/data_row/conftest.py

@@ -675,11 +675,3 @@ def point_pair():
                          }
                      }],
                      expected=0.879113232477017)
-
-
-# TODO:
-# Test no predictions and no labels
-# We want the behvaior to be
-# (len(predictions) ==0  and len(labels)> 0) == 0
-# (len(predictions) > 1  and len(labels) == 0) == 0
-# (len(predictions) ==0   and len(labels) == 0) == None