mirror of
https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
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refactor,chore(egen): refactored code as per template guidelines (#3344)
* refactor,chore(egen): refactored code as per template guidelines * refactor,chore(egen): fix region variable * refactor(egen): refactored notebook as per template guielines * refactor,chore(egen): performed linter test --------- Co-authored-by: Jayakrishna2801 <jayakrishna.rajaboina@egen.ai>
This commit is contained in:
Jayakrishna2801
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Jayakrishna2801
Jayakrishna2801
parent
b08b7a21f1
commit
91efb27aea
@@ -29,26 +29,29 @@
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"id": "JAPoU8Sm5E6e"
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},
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"source": [
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"# Vertex AI SDK for Python: AutoML Tabular training and prediction\n",
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"# Vertex AI SDK for Python: AutoML tabular training and prediction\n",
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"\n",
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"<table align=\"left\">\n",
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" <td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://colab.research.google.com/github/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/automl/automl-tabular-classification.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Colab logo\"> Run in Colab\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-logo-32px.png\" alt=\"Google Colaboratory logo\"><br> Open in Colab\n",
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" </a>\n",
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" </td>\n",
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" <td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://console.cloud.google.com/vertex-ai/colab/import/https:%2F%2Fraw.githubusercontent.com%2FGoogleCloudPlatform%2Fvertex-ai-samples%2Fmain%2Fnotebooks%2Fofficial%2Fautoml%2Fautoml-tabular-classification.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/colab-enterprise-logo-32px.png\" alt=\"Google Cloud Colab Enterprise logo\"><br> Open in Colab Enterprise\n",
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" </a>\n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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" <a href=\"https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/automl/automl-tabular-classification.ipynb\">\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\">\n",
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" View on GitHub\n",
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" </a>\n",
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" </td>\n",
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" <td>\n",
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" <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/automl/automl-tabular-classification.ipynb\">\n",
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" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\">\n",
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" Open in Vertex AI Workbench\n",
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" <img src=\"https://cloud.google.com/ml-engine/images/github-logo-32px.png\" alt=\"GitHub logo\"><br> View on GitHub\n",
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" </a>\n",
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" </td>\n",
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" <td style=\"text-align: center\">\n",
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"<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/automl/automl-tabular-classification.ipynb\" target='_blank'>\n",
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" <img src=\"https://lh3.googleusercontent.com/UiNooY4LUgW_oTvpsNhPpQzsstV5W8F7rYgxgGBD85cWJoLmrOzhVs_ksK_vgx40SHs7jCqkTkCk=e14-rj-sc0xffffff-h130-w32\" alt=\"Vertex AI logo\"><br> Open in Vertex AI Workbench\n",
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" </a>\n",
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" </td>\n",
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"</table>\n",
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"<br/><br/><br/>"
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]
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@@ -76,7 +79,7 @@
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"source": [
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"### Objective\n",
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"\n",
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"In this tutorial, you learn how to train and make predictions on an AutoML model based on a tabular dataset. Alternatively, you can train and make predictions on models by using the `gcloud` command-line tool or by using the online Cloud Console.\n",
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"In this tutorial, you learn how to train and make predictions on an AutoML model based on a tabular dataset. Alternatively, you can train and make predictions on models by using the `gcloud` command-line tool or by using the Google Cloud Console.\n",
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"\n",
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"This tutorial uses the following Google Cloud ML services and resources:\n",
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"\n",
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@@ -116,11 +119,9 @@
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"* Vertex AI\n",
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"* Cloud Storage\n",
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"\n",
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"Learn about [Vertex AI\n",
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"pricing](https://cloud.google.com/vertex-ai/pricing) and [Cloud Storage\n",
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"pricing](https://cloud.google.com/storage/pricing), and use the [Pricing\n",
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"Calculator](https://cloud.google.com/products/calculator/)\n",
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"to generate a cost estimate based on your projected usage."
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"Learn about [Vertex AI pricing](https://cloud.google.com/vertex-ai/pricing) and \n",
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"[Cloud Storage pricing](https://cloud.google.com/storage/pricing), and use the \n",
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"[Pricing Calculator](https://cloud.google.com/products/calculator/) to generate a cost estimate based on your projected usage."
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]
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},
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{
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@@ -150,135 +151,89 @@
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "restart"
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"id": "5eec42e37bcf"
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},
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"source": [
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"### Colab only: Uncomment the following cell to restart the kernel"
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"### Restart runtime (Colab only)\n",
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"To use the newly installed packages, you must restart the runtime on Google Colab."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "D-ZBOjErv5mM"
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"id": "dcc98768955f"
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},
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"outputs": [],
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"source": [
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"# Automatically restart kernel after installs so that your environment can access the new packages\n",
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"# import IPython\n",
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"import sys\n",
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"\n",
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"# app = IPython.Application.instance()\n",
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"# app.kernel.do_shutdown(True)"
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"if \"google.colab\" in sys.modules:\n",
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"\n",
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" import IPython\n",
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"\n",
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" app = IPython.Application.instance()\n",
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" app.kernel.do_shutdown(True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "yfEglUHQk9S3"
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"id": "4de1bd77992b"
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},
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"source": [
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"## Before you begin\n",
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"\n",
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"### Set your project ID\n",
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"\n",
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"**If you don't know your project ID**, try the following:\n",
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"* Run `gcloud config list`.\n",
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"* Run `gcloud projects list`.\n",
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"* See the support page: [Locate the project ID](https://support.google.com/googleapi/answer/7014113)"
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"<div class=\"alert alert-block alert-warning\">,\n",
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"<b>⚠️ The kernel is going to restart. Wait until it's finished before continuing to the next step. ⚠️</b>,\n",
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"</div>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "befa6ca14bc0"
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},
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"source": [
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"### Authenticate your notebook environment (Colab only)\n",
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"Authenticate your environment on Google Colab."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "set_project_id"
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"id": "7de6ef0fac42"
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},
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"outputs": [],
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"source": [
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"import sys\n",
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"\n",
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"if \"google.colab\" in sys.modules:\n",
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"\n",
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" from google.colab import auth\n",
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"\n",
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" auth.authenticate_user()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "80b8daedb2c6"
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},
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"source": [
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"### Set Google Cloud project information\n",
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"To get started using Vertex AI, you must have an existing Google Cloud project. Learn more about [setting up a project and a development environment.](https://cloud.google.com/vertex-ai/docs/start/cloud-environment)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "575f9339da1d"
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},
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"outputs": [],
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"source": [
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"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
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"\n",
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"# Set the project id\n",
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"! gcloud config set project {PROJECT_ID}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "region"
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},
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"source": [
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"#### Region\n",
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"\n",
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"You can also change the `REGION` variable used by Vertex AI. Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "region"
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},
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"outputs": [],
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"source": [
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"REGION = \"us-central1\" # @param {type: \"string\"}"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "gcp_authenticate"
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},
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"source": [
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"### Authenticate your Google Cloud account\n",
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"\n",
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"Depending on your Jupyter environment, you may have to manually authenticate. Follow the relevant instructions below.\n",
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"\n",
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"**1. Vertex AI Workbench**\n",
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"* Do nothing as you are already authenticated.\n",
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"\n",
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"**2. Local JupyterLab instance, uncomment and run:**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "ce6043da7b33"
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},
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"outputs": [],
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"source": [
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"# ! gcloud auth login"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "0367eac06a10"
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},
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"source": [
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"**3. Colab, uncomment and run:**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "21ad4dbb4a61"
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},
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"outputs": [],
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"source": [
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"# from google.colab import auth\n",
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"# auth.authenticate_user()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "c13224697bfb"
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},
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"source": [
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"**4. Service account or other**\n",
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"* See how to grant Cloud Storage permissions to your service account at https://cloud.google.com/storage/docs/gsutil/commands/iam#ch-examples."
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"LOCATION = \"us-central1\" # @param {type:\"string\"}"
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]
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},
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{
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@@ -300,7 +255,9 @@
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},
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"outputs": [],
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"source": [
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"BUCKET_URI = f\"gs://your-bucket-name-{PROJECT_ID}-unique\" # @param {type:\"string\"}"
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"BUCKET_URI = (\n",
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" f\"gs://your-bucket-name-unique-{PROJECT_ID}-unique\" # @param {type:\"string\"}\n",
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")"
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]
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},
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{
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@@ -320,7 +277,7 @@
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},
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"outputs": [],
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"source": [
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"! gsutil mb -l $REGION $BUCKET_URI"
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"! gsutil mb -l $LOCATION $BUCKET_URI"
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]
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},
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{
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@@ -365,11 +322,9 @@
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},
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"outputs": [],
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"source": [
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"import os\n",
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"\n",
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"from google.cloud import aiplatform\n",
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"\n",
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"aiplatform.init(project=PROJECT_ID, location=REGION)"
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"aiplatform.init(project=PROJECT_ID, location=LOCATION)"
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]
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},
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{
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@@ -380,7 +335,7 @@
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"source": [
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"## Tutorial\n",
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"\n",
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"Now you are ready to create your AutoML Tabular model."
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"Now you're ready to create your AutoML Tabular model."
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]
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},
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{
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@@ -389,7 +344,7 @@
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"id": "8f4f50a0112c"
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},
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"source": [
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"### Create a Managed Tabular dataset from a CSV\n",
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"### Create a Managed tabular dataset from a CSV\n",
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"\n",
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"This section creates a dataset from a CSV file stored on your GCS bucket."
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]
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@@ -416,7 +371,7 @@
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"id": "ba5011d50ac7"
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},
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"source": [
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"### Launch a training job to create a Model\n",
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"### Launch a training job to create a model\n",
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"\n",
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"Once you've defined your training script, you'll create a model. The `run` function creates a training pipeline that trains and creates a model object. After the training pipeline completes, the `run` function returns the model object."
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]
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@@ -605,7 +560,7 @@
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"# Delete the endpoint\n",
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"endpoint.delete()\n",
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"\n",
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"if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
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"if delete_bucket:\n",
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" ! gsutil -m rm -r $BUCKET_URI"
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]
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}
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