Small fixes

rapidsai · Sep 29, 2023 · e550651 · e550651
1 parent 4ee82d9
commit e550651
Showing 1 changed file with 7 additions and 5 deletions.
diff --git a/source/examples/time-series-forecasting-with-hpo/notebook.ipynb b/source/examples/time-series-forecasting-with-hpo/notebook.ipynb
@@ -37,24 +37,26 @@
    "id": "fde94ab8-123c-4a72-95db-86a2098247bb",
    "metadata": {},
    "source": [
-    "To run the example, you will need a working Google Kubernetes Engine (GKE) cluster with access to NVIDIA GPUs. Use the following resources to set up a cluster:\n",
+    "To run the example, you will need a working Google Kubernetes Engine (GKE) cluster with access to NVIDIA GPUs.\n",
     "\n",
     "````{docref} /cloud/gcp/gke\n",
     "Set up a Google Kubernetes Engine (GKE) cluster with access to NVIDIA GPUs. Follow instructions in [Google Kubernetes Engine](../../cloud/gcp/gke).\n",
     "````\n",
     "\n",
-    "To ensure that the example runs smoothly, ensure that you have ample memory in your GPUs. This notebook has been tested with NVIDIA A100.\n",
+    "1. To ensure that the example runs smoothly, ensure that you have ample memory in your GPUs. This notebook has been tested with NVIDIA A100.\n",
     "\n",
-    "* [Install the Dask-Kubernetes operator](https://kubernetes.dask.org/en/latest/operator_installation.html)\n",
-    "* [Install Kubeflow](https://www.kubeflow.org/docs/started/installing-kubeflow/)\n",
+    "2. Set up Dask-Kubernetes integration by following instructions in the following guides:\n",
+    "\n",
+    "  * [Install the Dask-Kubernetes operator](https://kubernetes.dask.org/en/latest/operator_installation.html)\n",
+    "  * [Install Kubeflow](https://www.kubeflow.org/docs/started/installing-kubeflow/)\n",
     "\n",
     "Kubeflow is not strictly necessary, but we highly recommend it, as Kubeflow gives you a nice notebook environment to run this notebook within the k8s cluster. (You may choose any method; we tested this example after installing Kubeflow from manifests.) When creating the notebook environment, use the following configuration:\n",
     "\n",
     "* 2 CPUs, 16 GiB of memory\n",
     "* 1 NVIDIA GPU\n",
     "* 40 GiB disk volume\n",
     "\n",
-    "After uploading all the notebooks in the example, run this notebook (`time_series_forecasting.ipynb`) in the notebook environment.\n",
+    "After uploading all the notebooks in the example, run this notebook (`notebook.ipynb`) in the notebook environment.\n",
     "\n",
     "Note: We will use the worker pods to speed up the training stage. The preprocessing steps will run solely on the scheduler node."
    ]