added array label mapper

image_prediction/label_mapper/mappers/numeric.py

@@ -4,18 +4,18 @@ from image_prediction.exceptions import UnexpectedLabelFormat
 from image_prediction.label_mapper.mapper import LabelMapper
 
 
-class IndexLabelMapper(LabelMapper):
+class IndexMapper(LabelMapper):
     def __init__(self, labels: Mapping[int, str]):
         self.__labels = labels
 
-    def __validate_int_prediction_format(self, index_label: int) -> None:
+    def __validate_index_label_format(self, index_label: int) -> None:
         if not 0 <= index_label <= len(self.__labels):
             raise UnexpectedLabelFormat(
                 f"Received index label  '{index_label}' that has no associated string label."
             )
 
     def __map_label(self, index_label: int) -> str:
-        self.__validate_int_prediction_format(index_label)
+        self.__validate_index_label_format(index_label)
         return self.__labels[index_label]
 
     def map_labels(self, index_labels: Iterable[int]) -> Iterable[str]:

image_prediction/label_mapper/mappers/probability.py

@@ -0,0 +1,27 @@
+from operator import itemgetter
+from typing import Mapping, Iterable
+
+import numpy as np
+
+from image_prediction.exceptions import UnexpectedLabelFormat
+from image_prediction.label_mapper.mapper import LabelMapper
+
+
+class ProbabilityMapper(LabelMapper):
+    def __init__(self, labels: Mapping[int, str]):
+        self.__labels = labels
+
+    def __validate_array_label_format(self, probabilities: np.ndarray) -> None:
+        if not len(probabilities) == len(self.__labels):
+            raise UnexpectedLabelFormat(
+                f"Received fewer probabilities ({len(probabilities)}) than labels were passed ({len(self.__labels)})."
+            )
+
+    def __map_array(self, probabilities: np.ndarray) -> dict:
+        self.__validate_array_label_format(probabilities)
+        cls2prob = dict(sorted(zip(self.__labels, probabilities), key=itemgetter(1), reverse=True))
+        most_likely = [*cls2prob][0]
+        return {"label": most_likely, "probabilities": cls2prob}
+
+    def map_labels(self, probabilities: Iterable[np.ndarray]) -> Iterable[dict]:
+        return map(self.__map_array, probabilities)

test/unit_tests/label_mapper_test.py

@@ -1,11 +1,14 @@
-from image_prediction.label_mapper.mappers.numeric import IndexLabelMapper
+from image_prediction.label_mapper.mappers.numeric import IndexMapper
+from image_prediction.label_mapper.mappers.probability import ProbabilityMapper
 
 
 def test_index_label_mapper(batch_of_expected_numeric_labels, batch_of_expected_string_labels, classes):
-    mapper = IndexLabelMapper(classes)
+    mapper = IndexMapper(classes)
     assert list(mapper(batch_of_expected_numeric_labels)) == batch_of_expected_string_labels
 
 
-# def test_array_label_mapper(expected_batch_array, batch_of_expected_label_to_probability_mappings, classes):
-#     mapper = ProbabilityMapper(classes)
-#     assert list(mapper(expected_batch_numeric_labels)) == expected_batch_string_labels
+def test_array_label_mapper(
+        batch_of_expected_probability_arrays, batch_of_expected_label_to_probability_mappings, classes
+):
+    mapper = ProbabilityMapper(classes)
+    assert list(mapper(batch_of_expected_probability_arrays)) == batch_of_expected_label_to_probability_mappings