本页面介绍了如何创建 Google Cloud 项目、启用 AML AI、创建身份验证凭据,以及向您的账号授予一个或多个 IAM 角色。
- 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.
-
Install the Google Cloud CLI.
-
If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.
-
To initialize the gcloud CLI, run the following command:
gcloud init
-
Create or select a Google Cloud project.
-
Create a Google Cloud project:
gcloud projects create PROJECT_ID
Replace
PROJECT_ID
with a name for the Google Cloud project you are creating. -
Select the Google Cloud project that you created:
gcloud config set project PROJECT_ID
Replace
PROJECT_ID
with your Google Cloud project name.
-
-
Make sure that billing is enabled for your Google Cloud project.
-
Enable the required APIs:
gcloud services enable financialservices.googleapis.com
bigquery.googleapis.com cloudkms.googleapis.com -
If you're using a local shell, then create local authentication credentials for your user account:
gcloud auth application-default login
You don't need to do this if you're using Cloud Shell.
If an authentication error is returned, and you are using an external identity provider (IdP), confirm that you have signed in to the gcloud CLI with your federated identity.
-
Grant roles to your user account. Run the following command once for each of the following IAM roles:
roles/financialservices.admin, roles/cloudkms.admin, roles/bigquery.admin
gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE
- Replace
PROJECT_ID
with your project ID. -
Replace
USER_IDENTIFIER
with the identifier for your user account. For example,user:myemail@example.com
. - Replace
ROLE
with each individual role.
- Replace
-
Install the Google Cloud CLI.
-
If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.
-
To initialize the gcloud CLI, run the following command:
gcloud init
-
Create or select a Google Cloud project.
-
Create a Google Cloud project:
gcloud projects create PROJECT_ID
Replace
PROJECT_ID
with a name for the Google Cloud project you are creating. -
Select the Google Cloud project that you created:
gcloud config set project PROJECT_ID
Replace
PROJECT_ID
with your Google Cloud project name.
-
-
Make sure that billing is enabled for your Google Cloud project.
-
Enable the required APIs:
gcloud services enable financialservices.googleapis.com
bigquery.googleapis.com cloudkms.googleapis.com -
If you're using a local shell, then create local authentication credentials for your user account:
gcloud auth application-default login
You don't need to do this if you're using Cloud Shell.
If an authentication error is returned, and you are using an external identity provider (IdP), confirm that you have signed in to the gcloud CLI with your federated identity.
-
Grant roles to your user account. Run the following command once for each of the following IAM roles:
roles/financialservices.admin, roles/cloudkms.admin, roles/bigquery.admin
gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE
- Replace
PROJECT_ID
with your project ID. -
Replace
USER_IDENTIFIER
with the identifier for your user account. For example,user:myemail@example.com
. - Replace
ROLE
with each individual role.
- Replace
所需权限
如需完成快速入门,您需要具备以下权限,并且需要这些权限才能在 AML AI 中执行许多重要操作。
权限 | 说明 |
---|---|
resourcemanager.projects.get | 获取 Google Cloud 项目 |
resourcemanager.projects.list | 列出 Google Cloud 个项目 |
cloudkms.keyRings.create | 创建 Cloud KMS 密钥环 |
cloudkms.cryptoKeys.create | 创建 Cloud KMS 密钥 |
financialservices.v1instances.create | 创建 AML AI 实例 |
financialservices.operations.get | 获取 AML AI 操作 |
cloudkms.cryptoKeys.getIamPolicy | 获取 Cloud KMS 密钥的 IAM 政策 |
cloudkms.cryptoKeys.setIamPolicy | 为 Cloud KMS 密钥设置 IAM 政策 |
bigquery.datasets.create | 创建 BigQuery 数据集 |
bigquery.datasets.get | 获取 BigQuery 数据集 |
bigquery.transfers.get | 获取 BigQuery Data Transfer Service 转移作业 |
bigquery.transfers.update | 创建或删除 BigQuery Data Transfer Service 转移作业 |
bigquery.datasets.setIamPolicy | 在 BigQuery 数据集上设置 IAM 政策 |
bigquery.datasets.update | 更新 BigQuery 数据集 |
financialservices.v1datasets.create | 创建 AML AI 数据集 |
financialservices.v1engineconfigs.create | 创建 AML AI 引擎配置 |
financialservices.v1models.create | 创建 AML AI 模型 |
financialservices.v1backtests.create | 创建 AML AI 回测结果 |
financialservices.v1backtests.exportMetadata | 从 AML AI 回测结果导出元数据 |
financialservices.v1instances.importRegisteredParties | 将已注册的当事人导入 AML AI 实例 |
financialservices.v1predictions.create | 创建 AML AI 预测结果 |
bigquery.jobs.create | 创建 BigQuery 作业 |
bigquery.tables.getData | 从 BigQuery 表中获取数据 |
financialservices.v1predictions.delete | 删除 AML AI 预测结果 |
financialservices.v1backtests.delete | 删除 AML AI 回测结果 |
financialservices.v1models.delete | 删除 AML AI 模型 |
financialservices.v1engineconfigs.delete | 删除 AML AI 引擎配置 |
financialservices.v1datasets.delete | 删除 AML AI 数据集 |
financialservices.v1instances.delete | 删除 AML AI 实例 |
bigquery.datasets.delete | 删除 BigQuery 数据集 |