Method: googleapis.ml.v1.projects.models.create

Creates a model which will later contain one or more versions. You must add at least one version before you can request predictions from the model. Add versions by calling projects.models.versions.create.

Arguments

Parameters
parent

string

Required. The project name.
body

object (GoogleCloudMlV1__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 GoogleCloudMlV1__Model.

Subworkflow snippet

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

YAML

- create:
    call: googleapis.ml.v1.projects.models.create
    args:
        parent: ...
        body:
            description: ...
            etag: ...
            labels: ...
            name: ...
            onlinePredictionConsoleLogging: ...
            onlinePredictionLogging: ...
            regions: ...
    result: createResult

JSON

[
  {
    "create": {
      "call": "googleapis.ml.v1.projects.models.create",
      "args": {
        "parent": "...",
        "body": {
          "description": "...",
          "etag": "...",
          "labels": "...",
          "name": "...",
          "onlinePredictionConsoleLogging": "...",
          "onlinePredictionLogging": "...",
          "regions": "..."
        }
      },
      "result": "createResult"
    }
  }
]