Class NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder (3.84.0)

public static final class NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder extends GeneratedMessage.Builder<NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder> implements NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpecOrBuilder

Represent spec for train trials.

Protobuf type google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

build()

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec build()
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

buildPartial()

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec buildPartial()
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

clear()

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder clear()
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder
Overrides

clearFrequency()

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder clearFrequency()

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.

int32 frequency = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder

This builder for chaining.

clearMaxParallelTrialCount()

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder clearMaxParallelTrialCount()

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

int32 max_parallel_trial_count = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder

This builder for chaining.

clearTrainTrialJobSpec()

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder clearTrainTrialJobSpec()

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

.google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder

getDefaultInstanceForType()

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec getDefaultInstanceForType()
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getFrequency()

public int 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.

int32 frequency = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
int

The frequency.

getMaxParallelTrialCount()

public int getMaxParallelTrialCount()

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

int32 max_parallel_trial_count = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
int

The maxParallelTrialCount.

getTrainTrialJobSpec()

public CustomJobSpec getTrainTrialJobSpec()

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

.google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
CustomJobSpec

The trainTrialJobSpec.

getTrainTrialJobSpecBuilder()

public CustomJobSpec.Builder getTrainTrialJobSpecBuilder()

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

.google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
CustomJobSpec.Builder

getTrainTrialJobSpecOrBuilder()

public CustomJobSpecOrBuilder getTrainTrialJobSpecOrBuilder()

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

.google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
CustomJobSpecOrBuilder

hasTrainTrialJobSpec()

public boolean hasTrainTrialJobSpec()

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

.google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
boolean

Whether the trainTrialJobSpec field is set.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec other)

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder mergeFrom(NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec other)
Parameter
Name Description
other NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder
Overrides

mergeTrainTrialJobSpec(CustomJobSpec value)

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder mergeTrainTrialJobSpec(CustomJobSpec value)

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

.google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value CustomJobSpec
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder

setFrequency(int value)

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder setFrequency(int value)

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.

int32 frequency = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value int

The frequency to set.

Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder

This builder for chaining.

setMaxParallelTrialCount(int value)

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder setMaxParallelTrialCount(int value)

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

int32 max_parallel_trial_count = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value int

The maxParallelTrialCount to set.

Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder

This builder for chaining.

setTrainTrialJobSpec(CustomJobSpec value)

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder setTrainTrialJobSpec(CustomJobSpec value)

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

.google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value CustomJobSpec
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder

setTrainTrialJobSpec(CustomJobSpec.Builder builderForValue)

public NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder setTrainTrialJobSpec(CustomJobSpec.Builder builderForValue)

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

.google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
builderForValue CustomJobSpec.Builder
Returns
Type Description
NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec.Builder