fix: reorg

update tag/linkback #1 AutoML Video

notebooks/notebook_template.ipynb

@@ -74,7 +74,9 @@
       "source": [
         "## Overview\n",
         "\n",
-        "{TODO: Include a paragraph or two explaining what this example demonstrates, who should be interested in it, and what you need to know before you get started.}"
+        "{TODO: Include a paragraph or two explaining what this example demonstrates, who should be interested in it, and what you need to know before you get started.}\n",
+        "\n",
+        "Learn more about [web-doc-title](linkback-to-webdoc-page). {TODO: if more than one primary feature, add tag/linkback for each one}"
       ]
     },
     {

notebooks/notebook_template_review.py

@@ -1144,14 +1144,14 @@ def add_index(path: str,
         if args.desc:
             desc = replace_cl(desc.replace('`', ''))
             print('<br/>')
-            print(f'            {desc}.\n')
+            print(f'            {desc}\n')
             
             
         if args.linkback and linkbacks:
             num = len(tags)
             for _ in range(num):
                 if linkbacks[_].startswith("vertex-ai"):
-                    print(f' Learn more about <a href="https://cloud.google.com/{linkbacks[_]}." target="_blank">{replace_cl(tags[_])}</a>.\n')
+                    print(f' Learn more about <a href="https://cloud.google.com/{linkbacks[_]}" target="_blank">{replace_cl(tags[_])}</a>.\n')
                 else:
                     print(f' Learn more about <a href="{linkbacks[_]}." target="_blank">{replace_cl(tags[_])}</a>.\n')
                     
@@ -1320,7 +1320,7 @@ if args.web:
     print('            <th width="80px">Open in</th>')
     print('        </tr>')
     print('    </thead>')
-    print('    <tbody>')
+    print('    <tbody class="list">')
 
 if args.notebook_dir:
     if not os.path.isdir(args.notebook_dir):

notebooks/official/automl/get_started_automl_training.ipynb

@@ -64,7 +64,7 @@
         "\n",
         "This tutorial demonstrates how to use AutoML in production. This tutorial covers get started with AutoML training.\n",
         "\n",
-        "Learn more about [Vertex AI for AutoML](https://cloud.google.com/vertex-ai/docs/start/automl-users)."
+        "Learn more about [AutoML training](https://cloud.google.com/vertex-ai/docs/training-overview)."
       ]
     },
     {
@@ -872,6 +872,18 @@
         "The execution of the training pipeline will take upto > 30 minutes."
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "3eaba926cdfa"
+      },
+      "outputs": [],
+      "source": [
+        "if os.getenv(\"IS_TESTING\"):\n",
+        "    sys.exit(0)"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": null,

notebooks/official/migration/UJ14 Vertex SDK AutoML Video Classification.ipynb

@@ -568,7 +568,7 @@
       },
       "outputs": [],
       "source": [
-        "IMPORT_FILE = \"gs://automl-video-demo-data/hmdb_split1_5classes_train_inf.csv\""
+        "IMPORT_FILE = \"gs://automl-video-demo-data/hmdb_split1_train_40_mp4_gs.csv\""
       ]
     },
     {
@@ -604,6 +604,19 @@
         "! gsutil cat $FILE | head"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "f483d8d80f64"
+      },
+      "outputs": [],
+      "source": [
+        "import datetime\n",
+        "\n",
+        "start = datetime.datetime.now()"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -757,7 +770,19 @@
         "\n",
         "The `run` method when completed returns the `Model` resource.\n",
         "\n",
-        "The execution of the training pipeline will take upto 20 minutes."
+        "The execution of the training pipeline may take over 24 hrs."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "8f135100f5d9"
+      },
+      "outputs": [],
+      "source": [
+        "if os.getenv(\"IS_TESTING\"):\n",
+        "    sys.exit(0)"
       ]
     },
     {
@@ -806,6 +831,18 @@
         "    INFO:google.cloud.aiplatform.training_jobs:Model available at projects/759209241365/locations/us-central1/models/1899701006099283968"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "48ca7f0980e0"
+      },
+      "outputs": [],
+      "source": [
+        "end = datetime.datetime.now()\n",
+        "end - start"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {

notebooks/official/model_evaluation/automl_tabular_regression_model_evaluation.ipynb

@@ -92,7 +92,7 @@
         "- Run the `AutoMLTabularTrainingJob` which returns a model\n",
         "- Import a pre-trained `AutoML model resource` into the pipeline\n",
         "- Run a `batch prediction` job in the pipeline\n",
-        "- Evaulate the AutoML model using the `regression evaluation component`\n",
+        "- Evaluate the AutoML model using the `regression evaluation component`\n",
         "- Import the Regression Metrics to the AutoML model resource"
       ]
     },

notebooks/official/model_evaluation/automl_video_classification_model_evaluation.ipynb

@@ -63,7 +63,7 @@
         "\n",
         "This notebook demonstrates how to use the Vertex AI classification model evaluation component to evaluate an AutoML video classification model. Model evaluation helps you determine your model performance based on the evaluation metrics and improve the model if necessary. \n",
         "\n",
-        "Learn more about [Vertex AI Model Evaluation](https://cloud.google.com/vertex-ai/docs/evaluation/introduction) and [AutoML Video](https://cloud.google.com/vertex-ai/docs/video-data/classification/prepare-data)."
+        "Learn more about [Vertex AI Model Evaluation](https://cloud.google.com/vertex-ai/docs/evaluation/introduction) and [Classification for video data](https://cloud.google.com/vertex-ai/docs/training-overview#classification_for_videos)."
       ]
     },
     {
@@ -792,7 +792,19 @@
         "\n",
         "The `run` method when completed returns the `Model` resource.\n",
         "\n",
-        "The execution of the training pipeline can take over 3 hours to complete."
+        "The execution of the training pipeline can take over 24 hours to complete."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "3eaba926cdfa"
+      },
+      "outputs": [],
+      "source": [
+        "if os.getenv(\"IS_TESTING\"):\n",
+        "    sys.exit(0)"
       ]
     },
     {

notebooks/official/pytorch/README.md

@@ -1,20 +0,0 @@
-
-[Training, tuning and deploying a PyTorch text sentiment classification model on Vertex AI](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/pytorch/pytorch-text-sentiment-classification-custom-train-deploy.ipynb)
-
-```
-Learn to build, train, tune and deploy a PyTorch model on [Vertex AI](https://cloud.
-
-The steps performed include:
-
-- Create training package for the text classification model.
-- Train the model with custom training on Vertex AI.
-- Check the created model artifacts.
-- Create a custom container for predictions.
-- Deploy the trained model to a Vertex AI Endpoint using the custom container for predictions.
-- Send online prediction requests to the deployed model and validate.
-- Clean up the resources created in this notebook.
-
-```
-
-   Learn more about [Vertex AI Training](https://cloud.google.com/vertex-ai/docs/training/custom-training).
-

notebooks/official/sdk/SDK_AutoML_Video_Classification.ipynb

@@ -64,7 +64,7 @@
         "\n",
         "Note: you may incur charges for training, prediction, storage or usage of other GCP products in connection with testing this SDK.\n",
         "\n",
-        "Learn more about [AutoML Video](https://cloud.google.com/vertex-ai/docs/tutorials/video-classification-automl/training)."
+        "Learn more about [Classification for video data](https://cloud.google.com/vertex-ai/docs/training-overview#classification_for_videos)."
       ]
     },
     {
@@ -773,7 +773,19 @@
         "\n",
         "The `run` method when completed returns the `Model` resource.\n",
         "\n",
-        "The execution of the training pipeline can take over 2 hours to complete."
+        "The execution of the training pipeline can take over 24 hours to complete."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "8f135100f5d9"
+      },
+      "outputs": [],
+      "source": [
+        "if os.getenv(\"IS_TESTING\"):\n",
+        "    sys.exit(0)"
       ]
     },
     {