v0.1.5

criterion -> loss_function

Author: bartzbeielstein

notebooks/02_spot_multidim.ipynb

@@ -318,7 +318,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.10"
   },
   "orig_nbformat": 4,
   "vscode": {

notebooks/10_spot_hpt_sklearn_classification.ipynb

@@ -660,7 +660,7 @@
    "source": [
     "There are two metrics:\n",
     "\n",
-    "    1. `metric` is used for the river based evaluation via `eval_oml_iter_progressive`.\n",
+    "    1. `metric_river` is used for the river based evaluation via `eval_oml_iter_progressive`.\n",
     "    2. `metric_sklearn` is used for the sklearn based evaluation."
    ]
   },
@@ -685,7 +685,7 @@
     "               \"step\": None,\n",
     "               \"log_level\": 50,\n",
     "               \"weight_coeff\": None,\n",
-    "               \"metric\": None,\n",
+    "               \"metric_river\": None,\n",
     "               \"metric_sklearn\": metric_sklearn,\n",
     "               # \"metric_custom\": None,\n",
     "               # \"metric_params\": {\"k\": k},\n",
@@ -1134,7 +1134,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.10"
   },
   "vscode": {
    "interpreter": {