rename it to results

Author: TomeHirata

docs/docs/tutorials/agents/index.ipynb

@@ -512,8 +512,8 @@
     "        {\n",
     "            \"Claim\": [example.claim for example in eval_set],\n",
     "            \"Expected Titles\": [example.titles for example in eval_set],\n",
-    "            \"Predicted Titles\": [output[1] for output in result.outputs],\n",
-    "            \"Top 5 Recall\": [output[2] for output in result.outputs],\n",
+    "            \"Predicted Titles\": [output[1] for output in result.results],\n",
+    "            \"Top 5 Recall\": [output[2] for output in result.results],\n",
     "        },\n",
     "        artifact_file=\"eval_results.json\",\n",
     "    )\n",

docs/docs/tutorials/classification_finetuning/index.ipynb

@@ -547,8 +547,8 @@
     "        {\n",
     "            \"Text\": [example.text for example in devset],\n",
     "            \"Expected\": [example.example_label for example in devset],\n",
-    "            \"Predicted\": [output[1] for output in result.outputs],\n",
-    "            \"Exact match\": [output[2] for output in result.outputs],\n",
+    "            \"Predicted\": [output[1] for output in result.results],\n",
+    "            \"Exact match\": [output[2] for output in result.results],\n",
     "        },\n",
     "        artifact_file=\"eval_results.json\",\n",
     "    )\n",

docs/docs/tutorials/entity_extraction/index.ipynb

@@ -526,8 +526,8 @@
         "        {\n",
         "            \"Tokens\": [example.tokens for example in test_set],\n",
         "            \"Expected\": [example.expected_extracted_people for example in test_set],\n",
-        "            \"Predicted\": [output[1] for output in result.outputs],\n",
-        "            \"Exact match\": [output[2] for output in result.outputs],\n",
+        "            \"Predicted\": [output[1] for output in result.results],\n",
+        "            \"Exact match\": [output[2] for output in result.results],\n",
         "        },\n",
         "        artifact_file=\"eval_results.json\",\n",
         "    )\n",

docs/docs/tutorials/math/index.ipynb

@@ -382,8 +382,8 @@
     "        {\n",
     "            \"Question\": [example.question for example in dataset.dev],\n",
     "            \"Gold Answer\": [example.answer for example in dataset.dev],\n",
-    "            \"Predicted Answer\": [output[1] for output in result.outputs],\n",
-    "            \"Correctness\": [output[2] for output in result.outputs],\n",
+    "            \"Predicted Answer\": [output[1] for output in result.results],\n",
+    "            \"Correctness\": [output[2] for output in result.results],\n",
     "        },\n",
     "        artifact_file=\"eval_results.json\",\n",
     "    )\n",

docs/docs/tutorials/multihop_search/index.ipynb

@@ -546,8 +546,8 @@
     "        {\n",
     "            \"Claim\": [example.claim for example in eval_set],\n",
     "            \"Expected Titles\": [example.titles for example in eval_set],\n",
-    "            \"Predicted Titles\": [output[1] for output in result.outputs],\n",
-    "            \"Top 5 Recall\": [output[2] for output in result.outputs],\n",
+    "            \"Predicted Titles\": [output[1] for output in result.results],\n",
+    "            \"Top 5 Recall\": [output[2] for output in result.results],\n",
     "        },\n",
     "        artifact_file=\"eval_results.json\",\n",
     "    )\n",

docs/docs/tutorials/rag/index.ipynb

@@ -744,8 +744,8 @@
     "        {\n",
     "            \"Question\": [example.question for example in eval_set],\n",
     "            \"Gold Response\": [example.response for example in eval_set],\n",
-    "            \"Predicted Response\": [output[1] for output in result.outputs],\n",
-    "            \"Semantic F1 Score\": [output[2] for output in result.outputs],\n",
+    "            \"Predicted Response\": [output[1] for output in result.results],\n",
+    "            \"Semantic F1 Score\": [output[2] for output in result.results],\n",
     "        },\n",
     "        artifact_file=\"eval_results.json\",\n",
     "    )\n",

dspy/evaluate/evaluate.py

@@ -110,7 +110,7 @@ def __call__(
             
             - score: A float percentage score (e.g., 67.30) representing overall performance
             
-            - outputs: a list of (example, prediction, score) tuples for each example in devset
+            - results: a list of (example, prediction, score) tuples for each example in devset
         """
         metric = metric if metric is not None else self.metric
         devset = devset if devset is not None else self.devset
@@ -162,7 +162,7 @@ def process_item(example):
 
         return dspy.Prediction(
             score=round(100 * ncorrect / ntotal, 2),
-            outputs=results,
+            results=results,
         )
 
 

dspy/teleprompt/bootstrap_finetune.py

@@ -222,10 +222,10 @@ def wrapped_program(**kwargs):
         with dspy.context(trace=[]):
             return program(**kwargs), dspy.settings.trace.copy()
 
-    outputs = evaluator(wrapped_program, metric=wrapped_metric).outputs
+    results = evaluator(wrapped_program, metric=wrapped_metric).results
 
     data = []
-    for example_ind, (example, prediction, score) in enumerate(outputs):
+    for example_ind, (example, prediction, score) in enumerate(results):
         prediction, trace = prediction
         data_dict = dict(example=example, prediction=prediction, trace=trace, example_ind=example_ind)
         if metric:

dspy/teleprompt/random_search.py

@@ -118,7 +118,7 @@ def compile(self, student, *, teacher=None, trainset, valset=None, restrict=None
 
             result = evaluate(program)
 
-            score, subscores = result.score, [output[2] for output in result.outputs]
+            score, subscores = result.score, [output[2] for output in result.results]
 
             all_subscores.append(subscores)