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

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

The spec of multi-trial Neural Architecture Search (NAS).

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

Namespace

Google \ Cloud \ AIPlatform \ V1 \ NasJobSpec

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ multi_trial_algorithm	int The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.
↳ metric	MultiTrialAlgorithmSpec\MetricSpec Metric specs for the NAS job. Validation for this field is done at multi_trial_algorithm_spec field.
↳ search_trial_spec	MultiTrialAlgorithmSpec\SearchTrialSpec Required. Spec for search trials.
↳ train_trial_spec	MultiTrialAlgorithmSpec\TrainTrialSpec Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.

getMultiTrialAlgorithm

The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.

Returns
Type	Description
int

setMultiTrialAlgorithm

The multi-trial Neural Architecture Search (NAS) algorithm type. Defaults to REINFORCEMENT_LEARNING.

Parameter
Name	Description
var	int

Returns
Type	Description
$this

getMetric

Metric specs for the NAS job.

Validation for this field is done at multi_trial_algorithm_spec field.

Returns
Type	Description
MultiTrialAlgorithmSpec\MetricSpec|null

hasMetric

clearMetric

setMetric

Metric specs for the NAS job.

Validation for this field is done at multi_trial_algorithm_spec field.

Parameter
Name	Description
var	MultiTrialAlgorithmSpec\MetricSpec

Returns
Type	Description
$this

getSearchTrialSpec

Required. Spec for search trials.

Returns
Type	Description
MultiTrialAlgorithmSpec\SearchTrialSpec|null

hasSearchTrialSpec

clearSearchTrialSpec

setSearchTrialSpec

Required. Spec for search trials.

Parameter
Name	Description
var	MultiTrialAlgorithmSpec\SearchTrialSpec

Returns
Type	Description
$this

getTrainTrialSpec

Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.

Returns
Type	Description
MultiTrialAlgorithmSpec\TrainTrialSpec|null

hasTrainTrialSpec

clearTrainTrialSpec

setTrainTrialSpec

Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count] search trials will be trained for every M [TrainTrialSpec.frequency] trials searched.

Parameter
Name	Description
var	MultiTrialAlgorithmSpec\TrainTrialSpec

Returns
Type	Description
$this