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" } } ]
