En este instructivo, se explica el proceso de usar Vertex AI a fin de crear un conjunto de datos tabular y usarlo para entrenar un modelo de clasificación.
Todo el proceso tarda un par de horas en completarse. La mayor parte de ese tiempo no es tiempo de actividad; puedes cerrar la ventana del navegador y volver a la tarea más tarde.
En este instructivo, se incluyen las siguientes páginas:
Configura tu proyecto y tu entorno.
Crea un conjunto de datos tabular y entrena un modelo de clasificación de AutoML
En cada página, se supone que ya realizaste las instrucciones de las páginas anteriores del instructivo.
Introducción a los datos
En este instructivo, se usa el conjunto de datos de código abierto de Bank Marketing, que está disponible mediante una licencia de Creative Commons CCO: de dominio público. Los nombres de las columnas se actualizaron para una vista más clara.
Antes de comenzar
Durante este instructivo, usarás Google Cloud Console para interactuar con Google Cloud. Completa los pasos siguientes antes de usar la funcionalidad de Vertex AI.
- Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
-
In the Google Cloud console, on the project selector page, select or create a Google Cloud project.
-
Make sure that billing is enabled for your Google Cloud project.
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Enable the Vertex AI API.
-
Create a service account:
-
In the Google Cloud console, go to the Create service account page.
Go to Create service account - Select your project.
-
In the Service account name field, enter a name. The Google Cloud console fills in the Service account ID field based on this name.
In the Service account description field, enter a description. For example,
Service account for quickstart
. - Click Create and continue.
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Grant the Project > Owner role to the service account.
To grant the role, find the Select a role list, then select Project > Owner.
- Click Continue.
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Click Done to finish creating the service account.
Do not close your browser window. You will use it in the next step.
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-
Create a service account key:
- In the Google Cloud console, click the email address for the service account that you created.
- Click Keys.
- Click Add key, and then click Create new key.
- Click Create. A JSON key file is downloaded to your computer.
- Click Close.
-
Set the environment variable
GOOGLE_APPLICATION_CREDENTIALS
to the path of the JSON file that contains your credentials. This variable applies only to your current shell session, so if you open a new session, set the variable again. -
In the Google Cloud console, on the project selector page, select or create a Google Cloud project.
-
Make sure that billing is enabled for your Google Cloud project.
-
Enable the Vertex AI API.
-
Create a service account:
-
In the Google Cloud console, go to the Create service account page.
Go to Create service account - Select your project.
-
In the Service account name field, enter a name. The Google Cloud console fills in the Service account ID field based on this name.
In the Service account description field, enter a description. For example,
Service account for quickstart
. - Click Create and continue.
-
Grant the Project > Owner role to the service account.
To grant the role, find the Select a role list, then select Project > Owner.
- Click Continue.
-
Click Done to finish creating the service account.
Do not close your browser window. You will use it in the next step.
-
-
Create a service account key:
- In the Google Cloud console, click the email address for the service account that you created.
- Click Keys.
- Click Add key, and then click Create new key.
- Click Create. A JSON key file is downloaded to your computer.
- Click Close.
-
Set the environment variable
GOOGLE_APPLICATION_CREDENTIALS
to the path of the JSON file that contains your credentials. This variable applies only to your current shell session, so if you open a new session, set the variable again.
¿Qué sigue?
Continúa con la siguiente página de este instructivo para crear un conjunto de datos tabular y entrenar un modelo de clasificación.