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 \ MultiTrialAlgorithmSpecMethods
__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 | |
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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 | |
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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 |