Google Cloud Ai Platform V1 Client - Class TrainTrialSpec (1.35.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class TrainTrialSpec.

Represent spec for train trials.

Generated from protobuf message google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

Namespace

Google \ Cloud \ AIPlatform \ V1 \ NasJobSpec \ MultiTrialAlgorithmSpec

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ train_trial_job_spec`	`Google\Cloud\AIPlatform\V1\CustomJobSpec` Required. The spec of a train trial job. The same spec applies to all train trials.
`↳ max_parallel_trial_count`	`int` Required. The maximum number of trials to run in parallel.
`↳ frequency`	`int` Required. Frequency of search trials to start train stage. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.

getTrainTrialJobSpec

Required. The spec of a train trial job. The same spec applies to all train trials.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\CustomJobSpec\|null`

hasTrainTrialJobSpec

clearTrainTrialJobSpec

setTrainTrialJobSpec

Required. The spec of a train trial job. The same spec applies to all train trials.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\CustomJobSpec`

Returns
Type	Description
`$this`

getMaxParallelTrialCount

Required. The maximum number of trials to run in parallel.

Returns
Type	Description
`int`

setMaxParallelTrialCount