Handle None case in Confusion matrix merging

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.3.3-dev0
+current_version = 0.3.3-dev1
 commit = True
 tag = False
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(\-(?P<release>[a-z]+)(?P<build>\d+))?

docs/conf.py

@@ -119,7 +119,7 @@ def setup(app):
 # built documents.
 #
 # The short X.Y version.
-version = "0.3.3-dev0"
+version = "0.3.3-dev1"
 # The full version, including alpha/beta/rc tags.
 release = ""  # Is set by calling `setup.py docs`
 

setup.cfg

@@ -4,7 +4,7 @@
 
 [metadata]
 name = whylogs
-version = 0.3.3-dev0
+version = 0.3.3-dev1
 description = Profile and monitor your ML data pipeline end-to-end
 author = WhyLabs.ai
 author-email = support@whylabs.ai

src/whylogs/_version.py

@@ -1,3 +1,3 @@
 """WhyLabs version number."""
 
-__version__ = "0.3.3-dev0"
+__version__ = "0.3.3-dev1"

src/whylogs/core/metrics/model_metrics.py

@@ -12,7 +12,9 @@ class ModelMetrics:
         confusion_matrix (ConfusionMatrix): ConfusionMatrix which keeps it track of counts with NumberTracker
     """
 
-    def __init__(self, confusion_matrix: ConfusionMatrix = ConfusionMatrix()):
+    def __init__(self, confusion_matrix: ConfusionMatrix = None):
+        if confusion_matrix is None:
+            confusion_matrix = ConfusionMatrix()
         self.confusion_matrix = confusion_matrix
 
     def to_protobuf(self, ) -> ModelMetricsMessage:
@@ -61,5 +63,7 @@ def merge(self, other):
             return self
         if other.confusion_matrix is None:
             # TODO: return a copy instead
+            return self
+        if self.confusion_matrix is None:
             return other
         return ModelMetrics(confusion_matrix=self.confusion_matrix.merge(other.confusion_matrix))

tests/unit/core/metrics/test_model_metrics.py

@@ -1,8 +1,3 @@
-
-import pytest
-import numpy as np
-from sklearn.utils.multiclass import type_of_target
-
 from whylogs.core.metrics.model_metrics import ModelMetrics
 
 
@@ -26,7 +21,6 @@ def tests_model_metrics():
 
 
 def tests_model_metrics_to_protobuf():
-
     mod_met = ModelMetrics()
 
     targets_1 = ["cat", "dog", "pig"]
@@ -39,4 +33,16 @@ def tests_model_metrics_to_protobuf():
 
     message = mod_met.to_protobuf()
 
-    read_mod_met = ModelMetrics.from_protobuf(message)
+    ModelMetrics.from_protobuf(message)
+
+
+def test_merge_none():
+    metrics = ModelMetrics()
+    metrics.merge(None)
+
+
+def test_merge_metrics_with_none_confusion_matrix():
+    metrics = ModelMetrics()
+    other = ModelMetrics()
+    other.confusion_matrix = None
+    metrics.merge(other)