Method: googleapis.bigquery.v2.models.patch

Patch specific fields in the specified model.

Arguments

Parameters
datasetId

string

Required. Dataset ID of the model to patch.

modelId

string

Required. Model ID of the model to patch.

projectId

string

Required. Project ID of the model to patch.

body

object (Model)

Required.

Raised exceptions

Exceptions
ConnectionError In case of a network problem (such as DNS failure or refused connection).
HttpError If the response status is >= 400 (excluding 429 and 503).
TimeoutError If a long-running operation takes longer to finish than the specified timeout limit.
TypeError If an operation or function receives an argument of the wrong type.
ValueError If an operation or function receives an argument of the right type but an inappropriate value. For example, a negative timeout.

Response

If successful, the response contains an instance of Model.

Subworkflow snippet

Some fields might be optional or required. To identify required fields, refer to the API documentation.

YAML

- patch:
    call: googleapis.bigquery.v2.models.patch
    args:
        datasetId: ...
        modelId: ...
        projectId: ...
        body:
            bestTrialId: ...
            description: ...
            encryptionConfiguration:
                kmsKeyName: ...
            expirationTime: ...
            friendlyName: ...
            labels: ...
            modelReference:
                datasetId: ...
                modelId: ...
                projectId: ...
            trainingRuns: ...
    result: patchResult

JSON

[
  {
    "patch": {
      "call": "googleapis.bigquery.v2.models.patch",
      "args": {
        "datasetId": "...",
        "modelId": "...",
        "projectId": "...",
        "body": {
          "bestTrialId": "...",
          "description": "...",
          "encryptionConfiguration": {
            "kmsKeyName": "..."
          },
          "expirationTime": "...",
          "friendlyName": "...",
          "labels": "...",
          "modelReference": {
            "datasetId": "...",
            "modelId": "...",
            "projectId": "..."
          },
          "trainingRuns": "..."
        }
      },
      "result": "patchResult"
    }
  }
]