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public final class ActiveLearningConfig extends GeneratedMessageV3 implements ActiveLearningConfigOrBuilder
Parameters that configure the active learning pipeline. Active learning will label the data incrementally by several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
Protobuf type google.cloud.aiplatform.v1.ActiveLearningConfig
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ActiveLearningConfigImplements
ActiveLearningConfigOrBuilderStatic Fields
MAX_DATA_ITEM_COUNT_FIELD_NUMBER
public static final int MAX_DATA_ITEM_COUNT_FIELD_NUMBER
Type | Description |
int |
MAX_DATA_ITEM_PERCENTAGE_FIELD_NUMBER
public static final int MAX_DATA_ITEM_PERCENTAGE_FIELD_NUMBER
Type | Description |
int |
SAMPLE_CONFIG_FIELD_NUMBER
public static final int SAMPLE_CONFIG_FIELD_NUMBER
Type | Description |
int |
TRAINING_CONFIG_FIELD_NUMBER
public static final int TRAINING_CONFIG_FIELD_NUMBER
Type | Description |
int |
Static Methods
getDefaultInstance()
public static ActiveLearningConfig getDefaultInstance()
Type | Description |
ActiveLearningConfig |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static ActiveLearningConfig.Builder newBuilder()
Type | Description |
ActiveLearningConfig.Builder |
newBuilder(ActiveLearningConfig prototype)
public static ActiveLearningConfig.Builder newBuilder(ActiveLearningConfig prototype)
Name | Description |
prototype | ActiveLearningConfig |
Type | Description |
ActiveLearningConfig.Builder |
parseDelimitedFrom(InputStream input)
public static ActiveLearningConfig parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ActiveLearningConfig |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ActiveLearningConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ActiveLearningConfig |
Type | Description |
IOException |
parseFrom(byte[] data)
public static ActiveLearningConfig parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
ActiveLearningConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ActiveLearningConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ActiveLearningConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static ActiveLearningConfig parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
ActiveLearningConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ActiveLearningConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ActiveLearningConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static ActiveLearningConfig parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
ActiveLearningConfig |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static ActiveLearningConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ActiveLearningConfig |
Type | Description |
IOException |
parseFrom(InputStream input)
public static ActiveLearningConfig parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ActiveLearningConfig |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ActiveLearningConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ActiveLearningConfig |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static ActiveLearningConfig parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
ActiveLearningConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ActiveLearningConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ActiveLearningConfig |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<ActiveLearningConfig> parser()
Type | Description |
Parser<ActiveLearningConfig> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
getDefaultInstanceForType()
public ActiveLearningConfig getDefaultInstanceForType()
Type | Description |
ActiveLearningConfig |
getHumanLabelingBudgetCase()
public ActiveLearningConfig.HumanLabelingBudgetCase getHumanLabelingBudgetCase()
Type | Description |
ActiveLearningConfig.HumanLabelingBudgetCase |
getMaxDataItemCount()
public long getMaxDataItemCount()
Max number of human labeled DataItems.
int64 max_data_item_count = 1;
Type | Description |
long | The maxDataItemCount. |
getMaxDataItemPercentage()
public int getMaxDataItemPercentage()
Max percent of total DataItems for human labeling.
int32 max_data_item_percentage = 2;
Type | Description |
int | The maxDataItemPercentage. |
getParserForType()
public Parser<ActiveLearningConfig> getParserForType()
Type | Description |
Parser<ActiveLearningConfig> |
getSampleConfig()
public SampleConfig getSampleConfig()
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
Type | Description |
SampleConfig | The sampleConfig. |
getSampleConfigOrBuilder()
public SampleConfigOrBuilder getSampleConfigOrBuilder()
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
Type | Description |
SampleConfigOrBuilder |
getSerializedSize()
public int getSerializedSize()
Type | Description |
int |
getTrainingConfig()
public TrainingConfig getTrainingConfig()
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
Type | Description |
TrainingConfig | The trainingConfig. |
getTrainingConfigOrBuilder()
public TrainingConfigOrBuilder getTrainingConfigOrBuilder()
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
Type | Description |
TrainingConfigOrBuilder |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Type | Description |
UnknownFieldSet |
hasMaxDataItemCount()
public boolean hasMaxDataItemCount()
Max number of human labeled DataItems.
int64 max_data_item_count = 1;
Type | Description |
boolean | Whether the maxDataItemCount field is set. |
hasMaxDataItemPercentage()
public boolean hasMaxDataItemPercentage()
Max percent of total DataItems for human labeling.
int32 max_data_item_percentage = 2;
Type | Description |
boolean | Whether the maxDataItemPercentage field is set. |
hasSampleConfig()
public boolean hasSampleConfig()
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
Type | Description |
boolean | Whether the sampleConfig field is set. |
hasTrainingConfig()
public boolean hasTrainingConfig()
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
Type | Description |
boolean | Whether the trainingConfig field is set. |
hashCode()
public int hashCode()
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
newBuilderForType()
public ActiveLearningConfig.Builder newBuilderForType()
Type | Description |
ActiveLearningConfig.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ActiveLearningConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
ActiveLearningConfig.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public ActiveLearningConfig.Builder toBuilder()
Type | Description |
ActiveLearningConfig.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |