Ready

explainability/shap_plots.ipynb

@@ -279,7 +279,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "method_name = 'ORIG_CW'"
+    "method_name = 'OVER'"
    ]
   },
   {
@@ -390,21 +390,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'np' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Define tolerance\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m tolerance \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241m.\u001b[39mmedian(np\u001b[38;5;241m.\u001b[39mabs(dist_matrix))  \u001b[38;5;66;03m# Use the median of the absolute values for tolerance\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m# Create a DataFrame to hold the interactions\u001b[39;00m\n\u001b[1;32m      5\u001b[0m interactions \u001b[38;5;241m=\u001b[39m []\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'np' is not defined"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Define tolerance\n",
     "tolerance = np.median(np.abs(dist_matrix))  # Use the median of the absolute values for tolerance\n",