创建和管理模型

本页面介绍了如何创建和管理 AML AI 模型。 创建模型以启动 AML AI 的机器学习训练流水线。您可以使用模型在各种数据集上运行预测或回测。

此时,您只需创建模型并导出关联的元数据。其他模型方法只是为了完整起见而提供的。

准备工作

创建模型

有些 API 方法会返回 长时间运行的操作 (LRO)。 这些方法是异步的,并返回 Operation 对象;有关详情,请参阅 REST 参考文档。当方法返回响应时,操作可能尚未完成。对于这些方法,请将 然后查看结果一般来说,所有 POST、PUT、UPDATE 和 DELETE 操作 长期运行

发送请求

如需创建模型,请使用 projects.locations.instances.models.create 方法。

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_IDIAM 设置中列出的 Google Cloud 项目 ID
  • LOCATION:实例的位置; 请使用 支持的区域
    显示位置
    • us-central1
    • us-east1
    • asia-south1
    • europe-west1
    • europe-west2
    • europe-west4
    • northamerica-northeast1
    • southamerica-east1
  • INSTANCE_ID:实例的用户定义标识符
  • MODEL_ID:用户定义的模型标识符
  • ENGINE_CONFIG_ID:引擎配置的用户指定标识符
  • DATASET_ID:用于训练此模型的主要数据集的用户定义标识符
  • TRAINING_END_DATE:用于生成用于训练的特征的最晚时间。此日期不能早于 主要数据集的结束时间。使用 RFC3339 世界协调时间 (UTC)(即“祖鲁时”)格式(例如 2014-10-02T15:01:23Z)。

请求 JSON 正文:

{
    "engineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
    "endTime": "TRAINING_END_DATE"
}

如需发送请求,请选择以下方式之一:

curl

将请求正文保存在名为 request.json 的文件中。在终端中运行以下命令,在当前目录中创建或覆盖此文件:

cat > request.json << 'EOF'
{
    "engineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
    "endTime": "TRAINING_END_DATE"
}
EOF

然后,执行以下命令以发送 REST 请求:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models?model_id=MODEL_ID"

PowerShell

将请求正文保存在名为 request.json 的文件中。在终端中运行以下命令,在当前目录中创建或覆盖此文件:

@'
{
    "engineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
    "endTime": "TRAINING_END_DATE"
}
'@  | Out-File -FilePath request.json -Encoding utf8

然后,执行以下命令以发送 REST 请求:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models?model_id=MODEL_ID" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": "2023-03-14T15:52:55.358979323Z",
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID",
    "verb": "create",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

检查结果

使用 projects.locations.operations.get 方法来检查模型是否已创建。如果响应包含 "done": false,请重复该命令,直到响应包含 "done": true。这些操作可能需要几分钟到几小时才能完成。

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_IDIAM 设置中列出的 Google Cloud 项目 ID
  • LOCATION:实例的位置;请使用某个受支持的地区
    显示位置
    • us-central1
    • us-east1
    • asia-south1
    • europe-west1
    • europe-west2
    • europe-west4
    • northamerica-northeast1
    • southamerica-east1
  • OPERATION_ID:操作的标识符

如需发送请求,请选择以下方式之一:

curl

执行以下命令:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID"

PowerShell

执行以下命令:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": "2023-03-14T15:52:55.358979323Z",
    "endTime": "2023-03-14T16:52:55.358979323Z",
    "target": "projects/PROJECT_ID/locations/LOCATION/models/MODEL_ID",
    "verb": "create",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.Model",
    "name": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID",
    "createTime": CREATE_TIME,
    "updateTime": UPDATE_TIME,
    "state": "ACTIVE",
    "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
    "engineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
    "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
    "endTime": "TRAINING_END_DATE",
    "lineOfBusiness": "RETAIL"
  }
}

导出元数据

如需从模型中导出元数据,请使用 projects.locations.instances.models.exportMetadata 方法。

如需了解详情,请参阅 AML 输出数据模型中导出的元数据

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_IDIAM 设置中列出的 Google Cloud 项目 ID
  • LOCATION:实例的位置;使用以下任一 该 支持的区域
    显示位置
    • us-central1
    • us-east1
    • asia-south1
    • europe-west1
    • europe-west2
    • europe-west4
    • northamerica-northeast1
    • southamerica-east1
  • INSTANCE_ID:用户定义的实例标识符
  • MODEL_ID:模型的用户定义标识符
  • BQ_OUTPUT_DATASET_NAME:用于导出用于描述模型结构化元数据的表的 BigQuery 数据集
  • STRUCTURED_METADATA_TABLE:要 将结构化元数据写入
  • WRITE_DISPOSITION:发生的操作 如果目标表已存在;请使用以下某个值:
    • WRITE_EMPTY:仅在 BigQuery 表为空时导出数据。
    • WRITE_TRUNCATE:在写入 BigQuery 表之前清空表中的所有现有数据。

请求 JSON 正文:

{
  "structuredMetadataDestination": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.STRUCTURED_METADATA_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  }
}

如需发送请求,请选择以下方式之一:

curl

将请求正文保存在名为 request.json 的文件中。在终端中运行以下命令,在当前目录中创建或覆盖此文件:

cat > request.json << 'EOF'
{
  "structuredMetadataDestination": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.STRUCTURED_METADATA_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  }
}
EOF

然后,执行以下命令以发送 REST 请求:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID:exportMetadata"

PowerShell

将请求正文保存在名为 request.json 的文件中。在终端中运行以下命令,在当前目录中创建或覆盖此文件:

@'
{
  "structuredMetadataDestination": {
    "tableUri": "bq://PROJECT_ID.BQ_OUTPUT_DATASET_NAME.STRUCTURED_METADATA_TABLE",
    "writeDisposition": "WRITE_DISPOSITION"
  }
}
'@  | Out-File -FilePath request.json -Encoding utf8

然后,执行以下命令以发送 REST 请求:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID:exportMetadata" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": "2023-03-14T15:52:55.358979323Z",
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID",
    "verb": "exportMetadata",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

如需详细了解如何获取长时间运行的操作 (LRO) 的结果,请参阅检查结果

获取模型

要获取模型,请使用 projects.locations.instances.models.get 方法。

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_IDIAM 设置中列出的 Google Cloud 项目 ID
  • LOCATION:实例的位置; 请使用 支持的区域
    显示位置
    • us-central1
    • us-east1
    • asia-south1
    • europe-west1
    • europe-west2
    • europe-west4
    • northamerica-northeast1
    • southamerica-east1
  • INSTANCE_ID:用户定义的实例标识符
  • MODEL_ID:用户定义的模型标识符

如需发送请求,请选择以下方式之一:

curl

执行以下命令:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID"

PowerShell

执行以下命令:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID",
  "createTime": "2023-03-14T15:52:55.358979323Z",
  "updateTime": "2023-03-15T15:52:55.358979323Z",
  "state": "ACTIVE",
  "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
  "engineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
  "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
  "endTime": "TRAINING_END_DATE",
  "lineOfBusiness": "RETAIL"
}

更新模型

如需更新模型,请使用 projects.locations.instances.models.patch 方法。

只能更新模型中的标签字段。以下示例展示了如何更新这些 键值对 用户标签 模型相关知识。

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_IDIAM 设置中列出的 Google Cloud 项目 ID
  • LOCATION:实例的位置;请使用某个受支持的地区
    显示位置
    • us-central1
    • us-east1
    • asia-south1
    • europe-west1
    • europe-west2
    • europe-west4
    • northamerica-northeast1
    • southamerica-east1
  • INSTANCE_ID:用户定义的实例标识符
  • MODEL_ID:用户定义的模型标识符
  • KEY:键值对中用于整理的键 模型。如需了解详情,请参阅 labels
  • VALUE:键值对中用于整理的值 模型。如需了解详情,请参阅 labels

请求 JSON 正文:

{
  "labels": {
    "KEY": "VALUE"
  }
}

如需发送请求,请选择以下方式之一:

curl

将请求正文保存在名为 request.json 的文件中。在终端中运行以下命令,在当前目录中创建或覆盖此文件:

cat > request.json << 'EOF'
{
  "labels": {
    "KEY": "VALUE"
  }
}
EOF

然后,执行以下命令以发送 REST 请求:

curl -X PATCH \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID?updateMask=labels"

PowerShell

将请求正文保存在名为 request.json 的文件中。在终端中运行以下命令,在当前目录中创建或覆盖此文件:

@'
{
  "labels": {
    "KEY": "VALUE"
  }
}
'@  | Out-File -FilePath request.json -Encoding utf8

然后,执行以下命令以发送 REST 请求:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method PATCH `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID?updateMask=labels" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": "2023-03-14T15:52:55.358979323Z",
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID",
    "verb": "update",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

如需详细了解如何获取长时间运行的操作 (LRO) 的结果,请参阅检查结果

列出模型

如需列出指定实例的模型,请使用 projects.locations.instances.models.list 方法。

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_IDIAM 设置中列出的 Google Cloud 项目 ID
  • LOCATION:实例的位置;请使用某个受支持的地区
    显示营业地点
    • us-central1
    • us-east1
    • asia-south1
    • europe-west1
    • europe-west2
    • europe-west4
    • northamerica-northeast1
    • southamerica-east1
  • INSTANCE_ID:实例的用户定义标识符

如需发送请求,请选择以下方式之一:

curl

执行以下命令:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models"

PowerShell

执行以下命令:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应:

{
  "models": [
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID",
      "createTime": "2023-03-14T15:52:55.358979323Z",
      "updateTime": "2023-03-15T15:52:55.358979323Z",
      "state": "ACTIVE",
      "engineVersion": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineVersions/ENGINE_VERSION_ID",
      "engineConfig": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/engineConfigs/ENGINE_CONFIG_ID",
      "primaryDataset": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/datasets/DATASET_ID",
      "endTime": "TRAINING_END_DATE",
      "lineOfBusiness": "RETAIL"
    }
  ]
}

删除模型

如需删除模型,请使用 projects.locations.instances.models.delete 方法。

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_IDIAM 设置中列出的 Google Cloud 项目 ID
  • LOCATION:实例的位置; 请使用 支持的区域
    显示位置
    • us-central1
    • us-east1
    • asia-south1
    • europe-west1
    • europe-west2
    • europe-west4
    • northamerica-northeast1
    • southamerica-east1
  • INSTANCE_ID:用户定义的实例标识符
  • MODEL_ID:用户定义的模型标识符

如需发送请求,请选择以下方式之一:

curl

执行以下命令:

curl -X DELETE \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID"

PowerShell

执行以下命令:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method DELETE `
-Headers $headers `
-Uri "https://financialservices.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应:

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.financialservices.v1.OperationMetadata",
    "createTime": "2023-03-14T15:52:55.358979323Z",
    "target": "projects/PROJECT_ID/locations/LOCATION/instances/INSTANCE_ID/models/MODEL_ID",
    "verb": "delete",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

如需详细了解如何获取长时间运行的操作 (LRO) 的结果,请参阅 检查结果