clear outputs

Author: jameslamb

notebooks/demo-aws.ipynb

@@ -40,18 +40,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "expanded-declaration",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "scheduler and worker image: public.ecr.aws/w8s1c8b1/lightgbm-dask-testing-cluster-jlamb:py3.12-dask2024.6.2\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import os\n",
@@ -79,16 +71,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "4a10d61c-5251-46a7-9f16-bd6eef606a82",
    "metadata": {},
    "outputs": [],
    "source": [
     "import platform\n",
+    "\n",
     "if platform.machine().lower() in {\"aarch64\", \"arm64\"}:\n",
-    "    cpu_architecture=\"ARM64\"\n",
+    "    cpu_architecture = \"ARM64\"\n",
     "else:\n",
-    "    cpu_architecture=\"X86_64\""
+    "    cpu_architecture = \"X86_64\""
    ]
   },
   {
@@ -104,16 +97,7 @@
    "execution_count": null,
    "id": "respective-collect",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/usr/local/lib/python3.12/contextlib.py:144: UserWarning: Creating your cluster is taking a surprisingly long time. This is likely due to pending resources on AWS. Hang tight! \n",
-      "  next(self.gen)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from dask.distributed import Client\n",
     "from dask_cloudprovider.aws import FargateCluster\n",
@@ -134,18 +118,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "raising-mauritius",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "View the dashboard: http://52.55.229.38:8787/status\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(f\"View the dashboard: {cluster.dashboard_link}\")"
    ]
@@ -174,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "structural-street",
    "metadata": {},
    "outputs": [],
@@ -199,7 +175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "quiet-nicaragua",
    "metadata": {},
    "outputs": [],
@@ -225,22 +201,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "pleased-brunei",
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "ModuleNotFoundError",
-     "evalue": "No module named 'lightgbm'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[13], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlightgbm\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdask\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m DaskLGBMRegressor\n\u001b[1;32m      3\u001b[0m dask_reg \u001b[38;5;241m=\u001b[39m DaskLGBMRegressor(\n\u001b[1;32m      4\u001b[0m     client\u001b[38;5;241m=\u001b[39mclient,\n\u001b[1;32m      5\u001b[0m     max_depth\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m5\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     10\u001b[0m     min_child_samples\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m,\n\u001b[1;32m     11\u001b[0m )\n\u001b[1;32m     13\u001b[0m dask_reg\u001b[38;5;241m.\u001b[39mfit(\n\u001b[1;32m     14\u001b[0m     X\u001b[38;5;241m=\u001b[39mdX,\n\u001b[1;32m     15\u001b[0m     y\u001b[38;5;241m=\u001b[39mdy,\n\u001b[1;32m     16\u001b[0m )\n",
-      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'lightgbm'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from lightgbm.dask import DaskLGBMRegressor\n",
     "\n",