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reduction_15
| Author | SHA1 | Date | |
|---|---|---|---|
 Andrew Ferlitsch
|
ead8367da5 | ||
|
Andrew Ferlitsch
|
43f4bc821a | ||
|
Andrew Ferlitsch
|
b0d4b73b22 |
@@ -126,55 +126,6 @@
|
||||
"to generate a cost estimate based on your projected usage."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "ze4-nDLfK4pw"
|
||||
},
|
||||
"source": [
|
||||
"### Set up your local development environment\n",
|
||||
"\n",
|
||||
"**If you are using Colab or Vertex AI Workbench Notebooks**, your environment already meets\n",
|
||||
"all the requirements to run this notebook. You can skip this step."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "gCuSR8GkAgzl"
|
||||
},
|
||||
"source": [
|
||||
"**Otherwise**, make sure your environment meets this notebook's requirements.\n",
|
||||
"You need the following:\n",
|
||||
"\n",
|
||||
"* The Google Cloud SDK\n",
|
||||
"* Git\n",
|
||||
"* Python 3\n",
|
||||
"* virtualenv\n",
|
||||
"* Jupyter notebook running in a virtual environment with Python 3\n",
|
||||
"\n",
|
||||
"The Google Cloud guide to <a href=\"https://cloud.google.com/python/setup\" target=\"_blank\">Setting up a Python development\n",
|
||||
"environment</a> and the <a href=\"https://jupyter.org/install\" target=\"_blank\">Jupyter\n",
|
||||
"installation guide</a> provide detailed instructions\n",
|
||||
"for meeting these requirements. The following steps provide a condensed set of\n",
|
||||
"instructions:\n",
|
||||
"\n",
|
||||
"1. <a href=\"https://cloud.google.com/sdk/docs/\" target=\"_blank\">Install and initialize the Cloud SDK.</a>\n",
|
||||
"\n",
|
||||
"1. <a href=\"https://cloud.google.com/python/setup#installing_python\" target=\"_blank\">Install Python 3.</a>\n",
|
||||
"\n",
|
||||
"1. <a href=\"https://cloud.google.com/python/setup#installing_and_using_virtualenv\" target=\"_blank\">Install\n",
|
||||
" virtualenv</a>\n",
|
||||
" and create a virtual environment that uses Python 3. Activate the virtual environment.\n",
|
||||
"\n",
|
||||
"1. To install Jupyter, run `pip3 install jupyter` on the\n",
|
||||
"command-line in a terminal shell.\n",
|
||||
"\n",
|
||||
"1. To launch Jupyter, run `jupyter notebook` on the command-line in a terminal shell.\n",
|
||||
"\n",
|
||||
"1. Open this notebook in the Jupyter Notebook Dashboard."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
@@ -194,140 +145,63 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"\n",
|
||||
"# The Vertex AI Workbench Notebook product has specific requirements\n",
|
||||
"IS_WORKBENCH_NOTEBOOK = os.getenv(\"DL_ANACONDA_HOME\")\n",
|
||||
"IS_USER_MANAGED_WORKBENCH_NOTEBOOK = os.path.exists(\n",
|
||||
" \"/opt/deeplearning/metadata/env_version\"\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"# Vertex AI Notebook requires dependencies to be installed with '--user'\n",
|
||||
"USER_FLAG = \"\"\n",
|
||||
"if IS_WORKBENCH_NOTEBOOK:\n",
|
||||
" USER_FLAG = \"--user\"\n",
|
||||
"\n",
|
||||
"! pip3 install --upgrade google-cloud-aiplatform {USER_FLAG} -q google-cloud-bigquery db-dtypes"
|
||||
"! pip3 install --upgrade --quiet google-cloud-aiplatform \\\n",
|
||||
" google-cloud-bigquery \\\n",
|
||||
" db-dtypes"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "hhq5zEbGg0XX"
|
||||
"id": "restart"
|
||||
},
|
||||
"source": [
|
||||
"### Restart the kernel\n",
|
||||
"\n",
|
||||
"After you install the additional packages, you need to restart the notebook kernel so it can find the packages."
|
||||
"### Colab only: Uncomment the following cell to restart the kernel"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "EzrelQZ22IZj"
|
||||
"id": "D-ZBOjErv5mM"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Automatically restart kernel after installs\n",
|
||||
"import os\n",
|
||||
"# Automatically restart kernel after installs so that your environment can access the new packages\n",
|
||||
"# import IPython\n",
|
||||
"\n",
|
||||
"if not os.getenv(\"IS_TESTING\"):\n",
|
||||
" # Automatically restart kernel after installs\n",
|
||||
" import IPython\n",
|
||||
"\n",
|
||||
" app = IPython.Application.instance()\n",
|
||||
" app.kernel.do_shutdown(True)"
|
||||
"# app = IPython.Application.instance()\n",
|
||||
"# app.kernel.do_shutdown(True)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "lWEdiXsJg0XY"
|
||||
"id": "yfEglUHQk9S3"
|
||||
},
|
||||
"source": [
|
||||
"## Before you begin"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "BF1j6f9HApxa"
|
||||
},
|
||||
"source": [
|
||||
"### Set up your Google Cloud project\n",
|
||||
"## Before you begin\n",
|
||||
"\n",
|
||||
"**The following steps are required, regardless of your notebook environment.**\n",
|
||||
"### Set your project ID\n",
|
||||
"\n",
|
||||
"1. <a href=\"https://console.cloud.google.com/cloud-resource-manager\" target=\"_blank\">Select or create a Google Cloud project</a>. When you first create an account, you get a $300 free credit towards your compute/storage costs.\n",
|
||||
"\n",
|
||||
"1. <a href=\"https://cloud.google.com/billing/docs/how-to/modify-project\" target=\"_blank\">Make sure that billing is enabled for your project</a>.\n",
|
||||
"\n",
|
||||
"1. <a href=\"https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com\" target=\"_blank\">Enable the Vertex AI API</a>.\n",
|
||||
"\n",
|
||||
"1. If you are running this notebook locally, you will need to install the <a href=\"https://cloud.google.com/sdk\" target=\"_blank\">Cloud SDK</a>.\n",
|
||||
"\n",
|
||||
"1. Enter your project ID in the cell below. Then run the cell to make sure the\n",
|
||||
"Cloud SDK uses the right project for all the commands in this notebook.\n",
|
||||
"\n",
|
||||
"**Note**: Jupyter runs lines prefixed with `!` as shell commands, and it interpolates Python variables prefixed with `$` into these commands."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "WReHDGG5g0XY"
|
||||
},
|
||||
"source": [
|
||||
"#### Set your project ID\n",
|
||||
"\n",
|
||||
"**If you don't know your project ID**, you may be able to get your project ID using `gcloud`."
|
||||
"**If you don't know your project ID**, try the following:\n",
|
||||
"* Run `gcloud config list`.\n",
|
||||
"* Run `gcloud projects list`.\n",
|
||||
"* See the support page: [Locate the project ID](https://support.google.com/googleapi/answer/7014113)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "3c8049930470"
|
||||
"id": "set_project_id"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "oM1iC_MfAts1"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"if PROJECT_ID == \"\" or PROJECT_ID is None or PROJECT_ID == \"[your-project-id]\":\n",
|
||||
" # Get your GCP project id from gcloud\n",
|
||||
" shell_output = ! gcloud config list --format 'value(core.project)' 2>/dev/null\n",
|
||||
" PROJECT_ID = shell_output[0]\n",
|
||||
" print(\"Project ID:\", PROJECT_ID)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "qJYoRfYng0XZ"
|
||||
},
|
||||
"source": [
|
||||
"Otherwise, set your project ID here."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "riG_qUokg0XZ"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! gcloud config set project $PROJECT_ID"
|
||||
"PROJECT_ID = \"[your-project-id]\" # @param {type:\"string\"}\n",
|
||||
"\n",
|
||||
"# Set the project id\n",
|
||||
"! gcloud config set project {PROJECT_ID}"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -338,16 +212,7 @@
|
||||
"source": [
|
||||
"#### Region\n",
|
||||
"\n",
|
||||
"You can also change the `REGION` variable, which is used for operations\n",
|
||||
"throughout the rest of this notebook. Below are regions supported for Vertex AI. We recommend that you choose the region closest to you.\n",
|
||||
"\n",
|
||||
"- Americas: `us-central1`\n",
|
||||
"- Europe: `europe-west4`\n",
|
||||
"- Asia Pacific: `asia-east1`\n",
|
||||
"\n",
|
||||
"You might not be able to use a multi-regional bucket for training with Vertex AI. Not all regions provide support for all Vertex AI services.\n",
|
||||
"\n",
|
||||
"Learn more about <a href=\"https://cloud.google.com/vertex-ai/docs/general/locations\" target=\"_blank\">Vertex AI regions</a>."
|
||||
"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)."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -358,115 +223,118 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"REGION = \"[your-region]\" # @param {type: \"string\"}\n",
|
||||
"\n",
|
||||
"if REGION == \"[your-region]\":\n",
|
||||
" REGION = \"us-central1\""
|
||||
"REGION = \"us-central1\" # @param {type: \"string\"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "06571eb4063b"
|
||||
},
|
||||
"source": [
|
||||
"#### UUID\n",
|
||||
"\n",
|
||||
"If you are in a live tutorial session, you might be using a shared test account or project. To avoid name collisions between users on resources created, you create a uuid for each instance session, and append it onto the name of resources you create in this tutorial."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "697568e92bd6"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import random\n",
|
||||
"import string\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"# Generate a uuid of a specifed length(default=8)\n",
|
||||
"def generate_uuid(length: int = 8) -> str:\n",
|
||||
" return \"\".join(random.choices(string.ascii_lowercase + string.digits, k=length))\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"UUID = generate_uuid()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "dr--iN2kAylZ"
|
||||
"id": "gcp_authenticate"
|
||||
},
|
||||
"source": [
|
||||
"### Authenticate your Google Cloud account\n",
|
||||
"\n",
|
||||
"**If you are using Vertex AI Workbench Notebooks**, your environment is already\n",
|
||||
"authenticated. Skip this step."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "sBCra4QMA2wR"
|
||||
},
|
||||
"source": [
|
||||
"**If you are using Colab**, run the cell below and follow the instructions\n",
|
||||
"when prompted to authenticate your account via oAuth.\n",
|
||||
"Depending on your Jupyter environment, you may have to manually authenticate. Follow the relevant instructions below.\n",
|
||||
"\n",
|
||||
"**Otherwise**, follow these steps:\n",
|
||||
"**1. Vertex AI Workbench**\n",
|
||||
"* Do nothing as you are already authenticated.\n",
|
||||
"\n",
|
||||
"1. In the Cloud Console, go to the <a href=\"https://console.cloud.google.com/apis/credentials/serviceaccountkey\" target=\"_blank\">**Create service account key** page</a>.\n",
|
||||
"\n",
|
||||
"2. Click **Create service account**.\n",
|
||||
"\n",
|
||||
"3. In the **Service account name** field, enter a name, and\n",
|
||||
" click **Create**.\n",
|
||||
"\n",
|
||||
"4. In the **Grant this service account access to project** section, click the **Role** drop-down list. Type \"Vertex AI\"\n",
|
||||
"into the filter box, and select\n",
|
||||
" **Vertex AI Administrator**. Type \"Storage Object Admin\" into the filter box, and select **Storage Object Admin**.\n",
|
||||
"\n",
|
||||
"5. Click *Create*. A JSON file that contains your key downloads to your\n",
|
||||
"local environment.\n",
|
||||
"\n",
|
||||
"6. Enter the path to your service account key as the\n",
|
||||
"`GOOGLE_APPLICATION_CREDENTIALS` variable in the cell below and run the cell."
|
||||
"**2. Local JupyterLab instance, uncomment and run:**"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "PyQmSRbKA8r-"
|
||||
"id": "ce6043da7b33"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# If you are running this notebook in Colab, run this cell and follow the\n",
|
||||
"# instructions to authenticate your GCP account. This provides access to your\n",
|
||||
"# Cloud Storage bucket and lets you submit training jobs and prediction\n",
|
||||
"# requests.\n",
|
||||
"# ! gcloud auth login"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "0367eac06a10"
|
||||
},
|
||||
"source": [
|
||||
"**3. Colab, uncomment and run:**"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "21ad4dbb4a61"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# from google.colab import auth\n",
|
||||
"# auth.authenticate_user()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "c13224697bfb"
|
||||
},
|
||||
"source": [
|
||||
"**4. Service account or other**\n",
|
||||
"* See how to grant Cloud Storage permissions to your service account at https://cloud.google.com/storage/docs/gsutil/commands/iam#ch-examples."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "bucket:mbsdk"
|
||||
},
|
||||
"source": [
|
||||
"### Create a Cloud Storage bucket\n",
|
||||
"\n",
|
||||
"import os\n",
|
||||
"import sys\n",
|
||||
"Create a storage bucket to store intermediate artifacts such as datasets."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "bucket"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"BUCKET_URI = f\"gs://your-bucket-name-{PROJECT_ID}-unique\" # @param {type:\"string\"}"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "create_bucket"
|
||||
},
|
||||
"source": [
|
||||
"**Only if your bucket doesn't already exist**: Run the following cell to create your Cloud Storage bucket."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "create_bucket"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"! gsutil mb -l $REGION $BUCKET_URI"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "44accda192d5"
|
||||
},
|
||||
"source": [
|
||||
"#### Service Account\n",
|
||||
"\n",
|
||||
"# If on Vertex AI Workbench, then don't execute this code\n",
|
||||
"IS_COLAB = \"google.colab\" in sys.modules\n",
|
||||
"if not os.path.exists(\"/opt/deeplearning/metadata/env_version\") and not os.getenv(\n",
|
||||
" \"DL_ANACONDA_HOME\"\n",
|
||||
"):\n",
|
||||
" if \"google.colab\" in sys.modules:\n",
|
||||
" from google.colab import auth as google_auth\n",
|
||||
"\n",
|
||||
" google_auth.authenticate_user()\n",
|
||||
"\n",
|
||||
" # If you are running this notebook locally, replace the string below with the\n",
|
||||
" # path to your service account key and run this cell to authenticate your GCP\n",
|
||||
" # account.\n",
|
||||
" elif not os.getenv(\"IS_TESTING\"):\n",
|
||||
" %env GOOGLE_APPLICATION_CREDENTIALS ''"
|
||||
"You use a service account to create Vertex AI Pipeline jobs. If you do not want to use your project's Compute Engine service account, set `SERVICE_ACCOUNT` to another service account ID."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -633,7 +501,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"BQ_DATASET_NAME = f\"ga4_churnprediction_{UUID}\"\n",
|
||||
"BQ_DATASET_NAME = \"ga4_churnprediction\"\n",
|
||||
"\n",
|
||||
"sql_create_dataset = f\"\"\"CREATE SCHEMA IF NOT EXISTS {BQ_DATASET_NAME}\"\"\"\n",
|
||||
"\n",
|
||||
@@ -714,7 +582,7 @@
|
||||
"source": [
|
||||
"# this cell may take ~1 min to run\n",
|
||||
"\n",
|
||||
"BQML_MODEL_NAME = f\"bqml_model_churn_{UUID}\"\n",
|
||||
"BQML_MODEL_NAME = \"bqml_model_churn\"\n",
|
||||
"\n",
|
||||
"sql_train_model_bqml = f\"\"\"\n",
|
||||
"CREATE OR REPLACE MODEL {BQ_DATASET_NAME}.{BQML_MODEL_NAME} \n",
|
||||
|
||||
Reference in New Issue
Block a user