Better error messages when using image deep features

src/python/turicreate/toolkits/image_analysis/image_analysis.py

@@ -287,5 +287,5 @@ def _is_image_deep_feature_sarray(feature_sarray, model_name):
     if type(feature_sarray[0]) != array:
         return False
     if len(feature_sarray[0]) != MODEL_TO_FEATURE_SIZE_MAPPING[model_name]:
-        return False
+        raise _ToolkitError("The given deep features are for a model other than {model_name}.".format(model_name=model_name))
     return True

src/python/turicreate/toolkits/image_classifier/image_classifier.py

@@ -267,7 +267,7 @@ def create(
         elif dataset[feature].dtype is _tc.Image:
             feature_type = "image"
         else:
-            raise _ToolkitError('The "{feature}" column of the sFrame neither has the dataype image or extracted features array.'.format(feature=feature)
+            raise _ToolkitError('The "{feature}" column of the SFrame neither has the dataype image or extracted features array.'.format(feature=feature)
                 + ' "Datasets" consists of columns with types: '
                 + ", ".join([x.__name__ for x in dataset.column_types()])
                 + "."

src/python/turicreate/toolkits/image_similarity/image_similarity.py

@@ -151,7 +151,7 @@ def create(
         elif dataset[feature].dtype is _tc.Image:
             feature_type = "image"
         else:
-            raise _ToolkitError('The "{feature}" column of the sFrame neither has the dataype image or array (for extracted features)'.format(feature=feature)
+            raise _ToolkitError('The "{feature}" column of the SFrame neither has the dataype image or array (for extracted features)'.format(feature=feature)
                 + ' "datasets" consists of columns with types: '
                 + ", ".join([x.__name__ for x in dataset.column_types()])
                 + "."
@@ -350,7 +350,7 @@ def _extract_features(self, dataset, verbose=False, batch_size=64):
                 }
             )
         else:
-            raise _ToolkitError('The "{feature}" column of the sFrame neither has the dataype image or extracted features array.'.format(feature=feature)
+            raise _ToolkitError('The "{feature}" column of the SFrame neither has the dataype image or extracted features array.'.format(feature=feature)
                 + ' "Datasets" consists of columns with types: '
                 + ", ".join([x.__name__ for x in dataset.column_types()])
                 + "."