public static final class SampleConfig.Builder extends GeneratedMessageV3.Builder<SampleConfig.Builder> implements SampleConfigOrBuilder
Active learning data sampling config. For every active learning labeling
iteration, it will select a batch of data based on the sampling strategy.
Protobuf type google.cloud.aiplatform.v1.SampleConfig
Methods
public SampleConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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public SampleConfig build()
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public SampleConfig buildPartial()
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public SampleConfig.Builder clear()
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public SampleConfig.Builder clearField(Descriptors.FieldDescriptor field)
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public SampleConfig.Builder clearFollowingBatchSamplePercentage()
The percentage of data needed to be labeled in each following batch
(except the first batch).
int32 following_batch_sample_percentage = 3;
public SampleConfig.Builder clearFollowingBatchSampleSize()
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public SampleConfig.Builder clearInitialBatchSamplePercentage()
The percentage of data needed to be labeled in the first batch.
int32 initial_batch_sample_percentage = 1;
public SampleConfig.Builder clearInitialBatchSampleSize()
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public SampleConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
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Overrides
public SampleConfig.Builder clearSampleStrategy()
Field to choose sampling strategy. Sampling strategy will decide which data
should be selected for human labeling in every batch.
.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;
public SampleConfig.Builder clone()
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public SampleConfig getDefaultInstanceForType()
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public static final Descriptors.Descriptor getDescriptor()
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public Descriptors.Descriptor getDescriptorForType()
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public int getFollowingBatchSamplePercentage()
The percentage of data needed to be labeled in each following batch
(except the first batch).
int32 following_batch_sample_percentage = 3;
| Type | Description |
| int | The followingBatchSamplePercentage.
|
public SampleConfig.FollowingBatchSampleSizeCase getFollowingBatchSampleSizeCase()
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public int getInitialBatchSamplePercentage()
The percentage of data needed to be labeled in the first batch.
int32 initial_batch_sample_percentage = 1;
| Type | Description |
| int | The initialBatchSamplePercentage.
|
public SampleConfig.InitialBatchSampleSizeCase getInitialBatchSampleSizeCase()
Returns
public SampleConfig.SampleStrategy getSampleStrategy()
Field to choose sampling strategy. Sampling strategy will decide which data
should be selected for human labeling in every batch.
.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;
public int getSampleStrategyValue()
Field to choose sampling strategy. Sampling strategy will decide which data
should be selected for human labeling in every batch.
.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;
| Type | Description |
| int | The enum numeric value on the wire for sampleStrategy.
|
public boolean hasFollowingBatchSamplePercentage()
The percentage of data needed to be labeled in each following batch
(except the first batch).
int32 following_batch_sample_percentage = 3;
| Type | Description |
| boolean | Whether the followingBatchSamplePercentage field is set.
|
public boolean hasInitialBatchSamplePercentage()
The percentage of data needed to be labeled in the first batch.
int32 initial_batch_sample_percentage = 1;
| Type | Description |
| boolean | Whether the initialBatchSamplePercentage field is set.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public SampleConfig.Builder mergeFrom(SampleConfig other)
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public SampleConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public SampleConfig.Builder mergeFrom(Message other)
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public final SampleConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
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public SampleConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
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public SampleConfig.Builder setFollowingBatchSamplePercentage(int value)
The percentage of data needed to be labeled in each following batch
(except the first batch).
int32 following_batch_sample_percentage = 3;
| Name | Description |
| value | int
The followingBatchSamplePercentage to set.
|
Returns
public SampleConfig.Builder setInitialBatchSamplePercentage(int value)
The percentage of data needed to be labeled in the first batch.
int32 initial_batch_sample_percentage = 1;
| Name | Description |
| value | int
The initialBatchSamplePercentage to set.
|
Returns
public SampleConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
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Overrides
public SampleConfig.Builder setSampleStrategy(SampleConfig.SampleStrategy value)
Field to choose sampling strategy. Sampling strategy will decide which data
should be selected for human labeling in every batch.
.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;
public SampleConfig.Builder setSampleStrategyValue(int value)
Field to choose sampling strategy. Sampling strategy will decide which data
should be selected for human labeling in every batch.
.google.cloud.aiplatform.v1.SampleConfig.SampleStrategy sample_strategy = 5;
| Name | Description |
| value | int
The enum numeric value on the wire for sampleStrategy to set.
|
Returns
public final SampleConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
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