initial comit

Author: elliottmurray

hackathon/01_health_check.ipynb

@@ -37,11 +37,37 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated property [core/project].\n",
+      "Updated property [core/account].\n",
+      "\n",
+      "You are running on a Google Compute Engine virtual machine.\n",
+      "It is recommended that you use service accounts for authentication.\n",
+      "\n",
+      "You can run:\n",
+      "\n",
+      "  $ gcloud config set account `ACCOUNT`\n",
+      "\n",
+      "to switch accounts if necessary.\n",
+      "\n",
+      "Your credentials may be visible to others with access to this\n",
+      "virtual machine. Are you sure you want to authenticate with\n",
+      "your personal account?\n",
+      "\n",
+      "Do you want to continue (Y/n)?  "
+     ]
+    }
+   ],
    "source": [
-    "VERTEX_PROJECT_ID = \"my-project-id\"\n",
-    "GOOGLE_ACCOUNT = \"[email protected]\"\n",
+    "VERTEX_PROJECT_ID = \"dt-sky-mlops-hackathon-dev\"\n",
+    "GOOGLE_ACCOUNT = \"[email protected]\"\n",
     "! gcloud config set project {VERTEX_PROJECT_ID}\n",
     "! gcloud config set account {GOOGLE_ACCOUNT}\n",
     "! gcloud auth login"
@@ -50,7 +76,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "%cd .."
@@ -85,7 +113,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "! make training wait=true"
@@ -133,7 +163,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "! make prediction"
@@ -194,10 +226,16 @@
    "name": "notebook_template.ipynb",
    "toc_visible": true
   },
+  "environment": {
+   "kernel": "conda-root-py",
+   "name": "workbench-notebooks.m113",
+   "type": "gcloud",
+   "uri": "gcr.io/deeplearning-platform-release/workbench-notebooks:m113"
+  },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3 (ipykernel) (Local)",
    "language": "python",
-   "name": "python3"
+   "name": "conda-root-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -209,7 +247,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.10.13"
   },
   "vscode": {
    "interpreter": {

hackathon/02_run_pipelines.ipynb

@@ -37,11 +37,37 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Updated property [core/project].\n",
+      "Updated property [core/account].\n",
+      "\n",
+      "You are running on a Google Compute Engine virtual machine.\n",
+      "It is recommended that you use service accounts for authentication.\n",
+      "\n",
+      "You can run:\n",
+      "\n",
+      "  $ gcloud config set account `ACCOUNT`\n",
+      "\n",
+      "to switch accounts if necessary.\n",
+      "\n",
+      "Your credentials may be visible to others with access to this\n",
+      "virtual machine. Are you sure you want to authenticate with\n",
+      "your personal account?\n",
+      "\n",
+      "Do you want to continue (Y/n)?  "
+     ]
+    }
+   ],
    "source": [
-    "VERTEX_PROJECT_ID = \"my-project-id\"\n",
-    "GOOGLE_ACCOUNT = \"[email protected]\"\n",
+    "VERTEX_PROJECT_ID = \"dt-sky-mlops-hackathon-dev\"\n",
+    "GOOGLE_ACCOUNT = \"[email protected]\"\n",
     "! gcloud config set project {VERTEX_PROJECT_ID}\n",
     "! gcloud config set account {GOOGLE_ACCOUNT}\n",
     "! gcloud auth login"
@@ -76,7 +102,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -193,10 +218,16 @@
    "name": "notebook_template.ipynb",
    "toc_visible": true
   },
+  "environment": {
+   "kernel": "conda-root-py",
+   "name": "workbench-notebooks.m113",
+   "type": "gcloud",
+   "uri": "gcr.io/deeplearning-platform-release/workbench-notebooks:m113"
+  },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3 (ipykernel) (Local)",
    "language": "python",
-   "name": "python3"
+   "name": "conda-root-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -208,7 +239,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.10.13"
   },
   "vscode": {
    "interpreter": {

hackathon/03_promote_model.ipynb

@@ -23,7 +23,7 @@
 
 RESOURCE_SUFFIX = env.get("RESOURCE_SUFFIX", "default")
 # set training-serving skew thresholds and emails to receive alerts:
-ALERT_EMAILS = []
+ALERT_EMAILS = ['[email protected]']
 NOTIFICATION_CHANNELS = []
 SKEW_THRESHOLDS = {"defaultSkewThreshold": {"value": 0.001}}
 # or set different thresholds per feature: