rename performance to optim-level in legacy auto api (#199)

src/sparsify/cli/run.py

@@ -96,7 +96,7 @@ def _parse_run_args_to_auto(sparse_transfer: bool, **kwargs):
         task=kwargs["use_case"],
         dataset=kwargs["data"],
         save_directory=kwargs["working_dir"],
-        performance=kwargs["optim_level"],
+        optim_level=kwargs["optim_level"],
         base_model=kwargs["model"],
         recipe=kwargs["recipe"],
         recipe_args=kwargs["recipe_args"] or {},

src/sparsify/schemas/auto_api.py

@@ -70,15 +70,13 @@ class APIArgs(BaseModel):
         description="Absolute path to save directory",
         default=DEFAULT_OUTPUT_DIRECTORY,
     )
-    performance: Union[str, float] = Field(
-        title="performance",
+    optim_level: float = Field(
+        title="optim_level",
         description=(
-            "Preferred tradeoff between accuracy and performance. Can be a string or a "
-            "float value in the range [0, 1]. Currently supported strings (and their "
-            "respective float values are `accuracy` (0), `balanced` (0.5), and "
-            "`performant` (1.0)"
+            "Preferred tradeoff between accuracy and performance. "
+            "Float value in the range [0, 1]. Default 0.5"
         ),
-        default="balanced",
+        default=0.5,
     )
     base_model: Optional[str] = Field(
         title="base_model",