Update Bike Sharing for EzUA 1.2.0

demos/bike-sharing/01.bike-sharing-mlflow.ipynb

@@ -93,6 +93,20 @@
     "warnings.filterwarnings('ignore')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "os.environ[\"AWS_ACCESS_KEY_ID\"] = os.environ['MLFLOW_TRACKING_TOKEN']\n",
+    "os.environ[\"AWS_SECRET_ACCESS_KEY\"] = \"s3\"\n",
+    "os.environ[\"AWS_ENDPOINT_URL\"] = 'http://local-s3-service.ezdata-system.svc.cluster.local:30000'\n",
+    "os.environ[\"MLFLOW_S3_ENDPOINT_URL\"] = os.environ[\"AWS_ENDPOINT_URL\"]\n",
+    "os.environ[\"MLFLOW_S3_IGNORE_TLS\"] = \"true\"\n",
+    "os.environ[\"MLFLOW_TRACKING_INSECURE_TLS\"] = \"true\""
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -942,11 +956,26 @@
    "source": [
     "manifest = f\"\"\"\n",
     "apiVersion: v1\n",
+    "kind: Secret\n",
+    "metadata:\n",
+    "  name: s3creds\n",
+    "  annotations:\n",
+    "     serving.kserve.io/s3-endpoint: {os.environ[\"AWS_ENDPOINT_URL\"].replace(\"http://\", \"\")}\n",
+    "     serving.kserve.io/s3-usehttps: \"0\"\n",
+    "     serving.kserve.io/s3-useanoncredential: \"false\"\n",
+    "     serving.kserve.io/s3-cabundle: \"\"\n",
+    "type: Opaque\n",
+    "stringData:\n",
+    "  AWS_ACCESS_KEY_ID: {os.environ[\"AWS_ACCESS_KEY_ID\"]}\n",
+    "  AWS_SECRET_ACCESS_KEY: {os.environ[\"AWS_SECRET_ACCESS_KEY\"]}\n",
+    "\n",
+    "---\n",
+    "apiVersion: v1\n",
     "kind: ServiceAccount\n",
     "metadata:\n",
     "  name: kserve-minio-sa\n",
     "secrets:\n",
-    "- name: {os.getenv('USER')}-objectstore-secret\n",
+    "- name: s3creds\n",
     "\n",
     "---\n",
     "apiVersion: \"serving.kserve.io/v1beta1\"\n",
@@ -1022,7 +1051,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.17"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,

demos/bike-sharing/README.md

@@ -36,15 +36,32 @@ To complete the tutorial follow the steps below:
    server.
 1. Connect to the Notebook server, launch a new terminal window, and clone the repository locally.
 1. Navigate to the tutorial's directory (`ezua-tutorials/tutorials/mlflow`)
-1. Create a new conda environment using the specified `environment.yaml` file:
-   ```
-   conda env create -f environment.yaml
-   ```
-1. Add the new conda environment as an ipykernel:
-   ```
-   python -m ipykernel install --user --name=bike-sharing
-   ```
-1. Refresh your browser tab to access the updated environment.
+1. Create your virtual environment:
+    - Deactivate the base conda environment:
+        ```
+        conda deactivate
+        ```
+    - Create a new virtual environment:
+       ```
+       python -m venv bike-sharing
+       ```
+    - Activate the new virtual environment:
+       ```
+       source bike-sharing/bin/activate
+       ```
+    - Upgrade `pip`:
+       ```
+       pip install --upgrade pip
+       ```
+    - Install the dependencies:
+       ```
+       pip install -r requirements.txt
+       ```
+    - Add the new conda environment as an ipykernel:
+       ```
+       python -m ipykernel install --user --name=bike-sharing
+       ```
+    - Refresh your browser tab to access the updated environment.
 1. Launch the two Notebooks in order and execute the code cells. Make sure to select the `bike-sharing` environment
    kernel for each Notebook.
 

demos/bike-sharing/requirements.txt

@@ -0,0 +1,7 @@
+numpy==1.19.5
+pandas==1.4.4
+seaborn==0.12.2
+scikit-learn==1.0.1
+boto3==1.20.24
+jupyter==1.0.0
+mlflow==2.1.1