Google Cloud Ai Platform V1 Client - Class TrainTrialSpec (1.13.1)

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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

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

Parameter
Name	Description
var	int

Returns
Type	Description
$this

getFrequency

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.

Returns
Type	Description
int

setFrequency

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.

Parameter
Name	Description
var	int

Returns
Type	Description
$this