fix: loose ends on objective conformance

2026-09-26 14:42:04 +00:00 · 2022-10-06 18:34:22 +00:00
3 changed files with 27 additions and 27 deletions
@@ -65,17 +65,6 @@
        "This tutorial demonstrates how to use the Vertex AI SDK to train and deploy a custom tabular regression model for online prediction with explanation."
      ]
    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "dataset:custom,boston,lrg"
-      },
-      "source": [
-        "### Dataset\n",
-        "\n",
-        "The dataset used for this tutorial is the [Boston Housing Prices dataset](https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html). The version of the dataset you will use in this tutorial is built into TensorFlow. The trained model predicts the median price of a house in units of 1K USD."
-      ]
-    },
    {
      "cell_type": "markdown",
      "metadata": {
@@ -84,7 +73,7 @@
      "source": [
        "### Objective\n",
        "\n",
-        "In this tutorial, you learn to use `Vertex AI Training and Explainable AI` to create a custom image classification model with explanations, and then you learn to use `Vertex AI Prediction` to make an online prediction request with explanations.  You can alternatively create custom models using `gcloud` command-line tool or online using Cloud Console.\n",
+        "In this tutorial, you learn how to use `Vertex AI Training and Explainable AI` to create a custom image classification model with explanations, and then you learn to use `Vertex AI Prediction` to make an online prediction request with explanations.  You can alternatively create custom models using `gcloud` command-line tool or online using Cloud Console.\n",
        "\n",
        "This tutorial uses the following Google Cloud ML services:\n",
        "\n",
@@ -106,6 +95,17 @@
        "- Undeploy the `Model` resource."
      ]
    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "dataset:custom,boston,lrg"
+      },
+      "source": [
+        "### Dataset\n",
+        "\n",
+        "The dataset used for this tutorial is the [Boston Housing Prices dataset](https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html). The version of the dataset you will use in this tutorial is built into TensorFlow. The trained model predicts the median price of a house in units of 1K USD."
+      ]
+    },
    {
      "cell_type": "markdown",
      "metadata": {
@@ -64,19 +64,6 @@
        "This notebook shows how to use the components defined in [`google_cloud_pipeline_components`](https://github.com/kubeflow/pipelines/tree/master/components/google-cloud) to build a [Vertex AI Pipelines](https://cloud.google.com/vertex-ai/docs/pipelines) workflow that trains a [custom model](https://cloud.google.com/vertex-ai/docs/training/containers-overview), uploads the model as a `Model` resource, creates an `Endpoint` resource, and deploys the `Model` resource to the `Endpoint` resource."
      ]
    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "dataset:bikes_weather,lrg"
-      },
-      "source": [
-        "### Dataset\n",
-        "\n",
-        "The dataset used for this tutorial is [Cloud Public Dataset Program](https://cloud.google.com/bigquery/public-data/) [London Bikes Rental](https://console.cloud.google.com/bigquery?p=bigquery-public-data&d=london_bicycles&page=dataset&_ga=2.122237643.-1779725180.1624895157) combined with [NOAA weather data ](https://console.cloud.google.com/bigquery?p=bigquery-public-data&d=noaa_gsod&page=dataset&_ga=2.179861860.-1779725180.1624895157)\n",
-        "\n",
-        "The dataset predicts the duration of the bike rental."
-      ]
-    },
    {
      "cell_type": "markdown",
      "metadata": {
@@ -85,7 +72,7 @@
      "source": [
        "### Objective\n",
        "\n",
-        "In this tutorial, you learn to use `Vertex AI Pipelines` and `Google Cloud Pipeline Components` to build and deploy a custom model.\n",
+        "In this tutorial, you learn how to use `Vertex AI Pipelines` and `Google Cloud Pipeline Components` to build and deploy a custom model.\n",
        "\n",
        "This tutorial uses the following Google Cloud ML services:\n",
        "\n",
@@ -109,6 +96,19 @@
        "(From that page, see also the `CustomPythonPackageTrainingJobRunOp` and `CustomContainerTrainingJobRunOp` components, which similarly run 'custom' training, but as with the related `google.cloud.aiplatform.CustomContainerTrainingJob` and `google.cloud.aiplatform.CustomPythonPackageTrainingJob` methods from the [Vertex AI SDK](https://googleapis.dev/python/aiplatform/latest/aiplatform.html), also upload the trained model)."
      ]
    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "dataset:bikes_weather,lrg"
+      },
+      "source": [
+        "### Dataset\n",
+        "\n",
+        "The dataset used for this tutorial is [Cloud Public Dataset Program](https://cloud.google.com/bigquery/public-data/) [London Bikes Rental](https://console.cloud.google.com/bigquery?p=bigquery-public-data&d=london_bicycles&page=dataset&_ga=2.122237643.-1779725180.1624895157) combined with [NOAA weather data ](https://console.cloud.google.com/bigquery?p=bigquery-public-data&d=noaa_gsod&page=dataset&_ga=2.179861860.-1779725180.1624895157)\n",
+        "\n",
+        "The dataset predicts the duration of the bike rental."
+      ]
+    },
    {
      "cell_type": "markdown",
      "metadata": {
@@ -53,7 +53,7 @@
        "    </a>\n",
        "  </td>\n",
        "  <td>                                                                                               \n",
-        "    <a href=\"https://console.cloud.google.com/ai/platform/notebooks/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/training/multi_node_ddp_nccl_vertex_training_with_custom_container.ipynb\">\n",
+        "    <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://raw.githubusercontent.com/GoogleCloudPlatform/vertex-ai-samples/main/notebooks/official/training/multi_node_ddp_nccl_vertex_training_with_custom_container.ipynb\">\n",
        "      <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
        "Open in Vertex AI Workbench\n",
        "    </a>\n",