accuracy -> performance

spacy/cli/info.py

@@ -91,7 +91,9 @@ def info_model(model: str, *, silent: bool = True) -> Dict[str, Any]:
         meta["source"] = str(model_path.resolve())
     else:
         meta["source"] = str(model_path)
-    return {k: v for k, v in meta.items() if k not in ("accuracy", "speed")}
+    return {
+        k: v for k, v in meta.items() if k not in ("accuracy", "performance", "speed")
+    }
 
 
 def get_markdown(data: Dict[str, Any], title: Optional[str] = None) -> str:

spacy/schemas.py

@@ -182,8 +182,7 @@ class ModelMetaSchema(BaseModel):
     sources: Optional[Union[List[StrictStr], List[Dict[str, str]]]] = Field(None, title="Training data sources")
     vectors: Dict[str, Any] = Field({}, title="Included word vectors")
     labels: Dict[str, List[str]] = Field({}, title="Component labels, keyed by component name")
-    accuracy: Dict[str, Union[float, Dict[str, float]]] = Field({}, title="Accuracy numbers")
-    speed: Dict[str, Union[float, int]] = Field({}, title="Speed evaluation numbers")
+    performance: Dict[str, Union[float, Dict[str, float]]] = Field({}, title="Accuracy and speed numbers")
     spacy_git_version: StrictStr = Field("", title="Commit of spaCy version used")
     # fmt: on
 

website/docs/api/data-formats.md

@@ -518,7 +518,7 @@ source of truth** used for loading a pipeline.
 >     "ner": ["PERSON", "ORG", "PRODUCT"],
 >     "textcat": ["POSITIVE", "NEGATIVE"]
 >   },
->   "accuracy": {
+>   "performance": {
 >     "ents_f": 82.7300930714,
 >     "ents_p": 82.135523614,
 >     "ents_r": 83.3333333333,

website/src/templates/models.js

@@ -117,7 +117,7 @@ function formatModelMeta(data) {
         license: data.license,
         labels: isEmptyObj(data.labels) ? null : data.labels,
         vectors: formatVectors(data.vectors),
-        accuracy: formatAccuracy(data.accuracy),
+        accuracy: formatAccuracy(data.performance),
     }
 }