Job
data class JobArgs(val etag: Output<String>? = null, val jobId: Output<String>? = null, val labels: Output<Map<String, String>>? = null, val predictionInput: Output<GoogleCloudMlV1__PredictionInputArgs>? = null, val predictionOutput: Output<GoogleCloudMlV1__PredictionOutputArgs>? = null, val project: Output<String>? = null, val trainingInput: Output<GoogleCloudMlV1__TrainingInputArgs>? = null, val trainingOutput: Output<GoogleCloudMlV1__TrainingOutputArgs>? = null) : ConvertibleToJava<JobArgs>
Creates a training or a batch prediction job. Auto-naming is currently not supported for this resource. Note - this resource's API doesn't support deletion. When deleted, the resource will persist on Google Cloud even though it will be deleted from Pulumi state.
Constructors
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fun JobArgs(etag: Output<String>? = null, jobId: Output<String>? = null, labels: Output<Map<String, String>>? = null, predictionInput: Output<GoogleCloudMlV1__PredictionInputArgs>? = null, predictionOutput: Output<GoogleCloudMlV1__PredictionOutputArgs>? = null, project: Output<String>? = null, trainingInput: Output<GoogleCloudMlV1__TrainingInputArgs>? = null, trainingOutput: Output<GoogleCloudMlV1__TrainingOutputArgs>? = null)
Functions
Properties
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etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a job from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform job updates in order to avoid race conditions: An etag is returned in the response to GetJob, and systems are expected to put that etag in the request to UpdateJob to ensure that their change will be applied to the same version of the job.
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