Remove online inference mode mentions

Author: Alexsandruss

configs/BENCH-CONFIG-SPEC.md

@@ -108,7 +108,7 @@ Configs have the three highest parameter keys:
 |:---------------|:--------------|:--------|:------------|
 | `algorithm`:`estimator` | None |  | Name of measured estimator. |
 | `algorithm`:`estimator_params` | Empty `dict` |  | Parameters for estimator constructor. |
-| `algorithm`:`online_inference_mode` | False |  | Enables online mode for inference methods of estimator (separate call for each sample). |
+| `algorithm`:`batch_size`:`{stage}` | None | Any positive integer | Enables online mode for `{stage}` methods of estimator (sequential calls for each batch). |
 | `algorithm`:`sklearn_context` | None |  | Parameters for sklearn `config_context` used over estimator. |
 | `algorithm`:`sklearnex_context` | None |  | Parameters for sklearnex `config_context` used over estimator. Updated by `sklearn_context` if set. |
 | `bench`:`ensure_sklearnex_patching` | True |  | If True, warns about sklearnex patching failures. |

configs/sklearn_example.json

@@ -83,10 +83,7 @@
     "TEMPLATES": {
         "multi clsf": {
             "SETS": ["common", "multi clsf data"],
-            "algorithm": {
-                "estimator": "LogisticRegression",
-                "online_inference_mode": true
-            }
+            "algorithm": { "estimator": "LogisticRegression" }
         },
         "supervised": {
             "SETS": ["common", "binary clsf data", "supervised algorithms"]

sklbench/emulators/svs/neighbors.py

@@ -45,7 +45,6 @@ def fit(self, X, y=None):
         build_params = svs.VamanaBuildParameters(
             graph_max_degree=self.graph_max_degree,
             window_size=self.window_size,
-            # num_threads=self.n_jobs,
         )
         self._index = svs.Vamana.build(
             build_params,

sklbench/report/implementation.py

@@ -93,7 +93,6 @@
     "estimator",
     "method",
     "function",
-    "online_inference_mode",
     "device",
     "environment_name",
     # data