GoogleApi.MachineLearning.V1.Api.Projects.ml_projects_jobs_patch
You're seeing just the function
ml_projects_jobs_patch
, go back to GoogleApi.MachineLearning.V1.Api.Projects module for more information.
Link to this function
ml_projects_jobs_patch(connection, projects_id, jobs_id, optional_params \\ [], opts \\ [])
View SourceSpecs
ml_projects_jobs_patch( Tesla.Env.client(), String.t(), String.t(), keyword(), keyword() ) :: {:ok, GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job.t()} | {:ok, Tesla.Env.t()} | {:ok, list()} | {:error, any()}
Updates a specific job resource. Currently the only supported fields to update are labels
.
Parameters
-
connection
(type:GoogleApi.MachineLearning.V1.Connection.t
) - Connection to server -
projects_id
(type:String.t
) - Part ofname
. Required. The job name. -
jobs_id
(type:String.t
) - Part ofname
. See documentation ofprojectsId
. -
optional_params
(type:keyword()
) - Optional parameters-
:"$.xgafv"
(type:String.t
) - V1 error format. -
:access_token
(type:String.t
) - OAuth access token. -
:alt
(type:String.t
) - Data format for response. -
:callback
(type:String.t
) - JSONP -
:fields
(type:String.t
) - Selector specifying which fields to include in a partial response. -
:key
(type:String.t
) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token. -
:oauth_token
(type:String.t
) - OAuth 2.0 token for the current user. -
:prettyPrint
(type:boolean()
) - Returns response with indentations and line breaks. -
:quotaUser
(type:String.t
) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. -
:uploadType
(type:String.t
) - Legacy upload protocol for media (e.g. "media", "multipart"). -
:upload_protocol
(type:String.t
) - Upload protocol for media (e.g. "raw", "multipart"). -
:updateMask
(type:String.t
) - Required. Specifies the path, relative toJob
, of the field to update. To adopt etag mechanism, includeetag
field in the mask, and include theetag
value in your job resource. For example, to change the labels of a job, theupdate_mask
parameter would be specified aslabels
,etag
, and thePATCH
request body would specify the new value, as follows: { "labels": { "owner": "Google", "color": "Blue" } "etag": "33a64df551425fcc55e4d42a148795d9f25f89d4" } Ifetag
matches the one on the server, the labels of the job will be replaced with the given ones, and the server endetag
will be recalculated. Currently the only supported update masks arelabels
andetag
. -
:body
(type:GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job.t
) -
-
-
opts
(type:keyword()
) - Call options
Returns
-
{:ok, %GoogleApi.MachineLearning.V1.Model.GoogleCloudMlV1_Job{}}
on success -
{:error, info}
on failure