Evaluation Default evaluator

mlflow/models/evaluation/artifacts.py

@@ -0,0 +1,23 @@
+import pandas as pd
+
+from mlflow.models.evaluation.base import EvaluationArtifact
+
+
+class ImageEvaluationArtifact(EvaluationArtifact):
+    def save(self, output_artifact_path):
+        self._content.save(output_artifact_path)
+
+    def _load_content_from_file(self, local_artifact_path):
+        from PIL.Image import open as open_image
+
+        self._content = open_image(local_artifact_path)
+        return self._content
+
+
+class CsvEvaluationArtifact(EvaluationArtifact):
+    def save(self, output_artifact_path):
+        self._content.to_csv(output_artifact_path, index=False)
+
+    def _load_content_from_file(self, local_artifact_path):
+        self._content = pd.read_csv(local_artifact_path)
+        return self._content