如何知道我在 Google Cloud ML 上使用了多少节点小时进行预测?

How to know if how many node hours I have used on a Google Cloud ML for prediction?

我试图找出如何获取我的 Google Cloud ML Prediction API 的节点小时使用率,但没有找到。有没有办法知道使用情况,除了看账单? Here 是我参考的 API 文档。

您引用的文档页面是 Cloud Machine Learning Engine API documentation:

的一部分

An API to enable creating and using machine learning models.

API用于使用产品本身,不包含产品的账单信息。

您想要查看的账单信息Cloud Billing and its API

With this API, you can do any of the following.

For billing accounts:

...

  • Get billing information for a project.

然而,从快速浏览文档(我还没有使用它)来看,API 本身似乎并没有直接提供您正在寻找的特定信息。但获取该信息的可能方法似乎是:

  1. 使用 Billing Reports:

The Cloud Billing Reports page lets you view your Google Cloud Platform (GCP) usage costs at a glance and discover and analyze trends. The Reports page displays a chart that plots usage costs for all projects linked to a billing account. To help you view the cost trends that are important to you, you can select a data range, specify a time range, configure the chart filters, and group by project, product, or SKU.

Billing reports can help you answer questions like these:

  • How is my current month's GCP spending trending?
  1. Export Billing Data to a File:

To access a detailed breakdown of your charges, you can export your daily usage and cost estimates automatically to a CSV or JSON file stored in a Google Cloud Storage bucket you specify. You can then access the data via the Cloud Storage API, CLI tool, or Google Cloud Platform Console.

  1. Export Billing Data to BigQuery:

Billing export to BigQuery enables you to export your daily usage and cost estimates automatically throughout the day to a BigQuery dataset you specify. You can then access your billing data from BigQuery. You can also use this export method to export data to a JSON file.