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

Creates a new version of a model from a trained TensorFlow model. If the version created in the cloud by this call is the first deployed version of the specified model, it will be made the default version of the model. When you add a version to a model that already has one or more versions, the default version does not automatically change. If you want a new version to be the default, you must call projects.models.versions.setDefault.

Arguments

Parameters
parent

string

Required. The name of the model.

body

object (GoogleCloudMlV1__Version)

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 GoogleLongrunning__Operation.

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.versions.create
    args:
        parent: ...
        body:
            acceleratorConfig:
                count: ...
                type: ...
            autoScaling:
                maxNodes: ...
                metrics: ...
                minNodes: ...
            container:
                args: ...
                command: ...
                env: ...
                image: ...
                ports: ...
            deploymentUri: ...
            description: ...
            etag: ...
            explanationConfig:
                integratedGradientsAttribution:
                    numIntegralSteps: ...
                sampledShapleyAttribution:
                    numPaths: ...
                xraiAttribution:
                    numIntegralSteps: ...
            framework: ...
            labels: ...
            machineType: ...
            manualScaling:
                nodes: ...
            name: ...
            packageUris: ...
            predictionClass: ...
            pythonVersion: ...
            requestLoggingConfig:
                bigqueryTableName: ...
                samplingPercentage: ...
            routes:
                health: ...
                predict: ...
            runtimeVersion: ...
            serviceAccount: ...
    result: createResult

JSON

[
  {
    "create": {
      "call": "googleapis.ml.v1.projects.models.versions.create",
      "args": {
        "parent": "...",
        "body": {
          "acceleratorConfig": {
            "count": "...",
            "type": "..."
          },
          "autoScaling": {
            "maxNodes": "...",
            "metrics": "...",
            "minNodes": "..."
          },
          "container": {
            "args": "...",
            "command": "...",
            "env": "...",
            "image": "...",
            "ports": "..."
          },
          "deploymentUri": "...",
          "description": "...",
          "etag": "...",
          "explanationConfig": {
            "integratedGradientsAttribution": {
              "numIntegralSteps": "..."
            },
            "sampledShapleyAttribution": {
              "numPaths": "..."
            },
            "xraiAttribution": {
              "numIntegralSteps": "..."
            }
          },
          "framework": "...",
          "labels": "...",
          "machineType": "...",
          "manualScaling": {
            "nodes": "..."
          },
          "name": "...",
          "packageUris": "...",
          "predictionClass": "...",
          "pythonVersion": "...",
          "requestLoggingConfig": {
            "bigqueryTableName": "...",
            "samplingPercentage": "..."
          },
          "routes": {
            "health": "...",
            "predict": "..."
          },
          "runtimeVersion": "...",
          "serviceAccount": "..."
        }
      },
      "result": "createResult"
    }
  }
]