public static final class IndexDatapoint.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder> implements IndexDatapointOrBuilder
A datapoint of Index.Protobuf type
google.cloud.aiplatform.v1.IndexDatapointgetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic IndexDatapoint build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic IndexDatapoint buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic IndexDatapoint.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder mergeFrom(IndexDatapoint other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public IndexDatapoint.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<IndexDatapoint.Builder>IOExceptionpublic String getDatapointId()
Required. Unique identifier of the datapoint.
string datapoint_id = 1 [(.google.api.field_behavior) = REQUIRED];getDatapointId in interface IndexDatapointOrBuilderpublic com.google.protobuf.ByteString getDatapointIdBytes()
Required. Unique identifier of the datapoint.
string datapoint_id = 1 [(.google.api.field_behavior) = REQUIRED];getDatapointIdBytes in interface IndexDatapointOrBuilderpublic IndexDatapoint.Builder setDatapointId(String value)
Required. Unique identifier of the datapoint.
string datapoint_id = 1 [(.google.api.field_behavior) = REQUIRED];value - The datapointId to set.public IndexDatapoint.Builder clearDatapointId()
Required. Unique identifier of the datapoint.
string datapoint_id = 1 [(.google.api.field_behavior) = REQUIRED];public IndexDatapoint.Builder setDatapointIdBytes(com.google.protobuf.ByteString value)
Required. Unique identifier of the datapoint.
string datapoint_id = 1 [(.google.api.field_behavior) = REQUIRED];value - The bytes for datapointId to set.public List<Float> getFeatureVectorList()
Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];getFeatureVectorList in interface IndexDatapointOrBuilderpublic int getFeatureVectorCount()
Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];getFeatureVectorCount in interface IndexDatapointOrBuilderpublic float getFeatureVector(int index)
Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];getFeatureVector in interface IndexDatapointOrBuilderindex - The index of the element to return.public IndexDatapoint.Builder setFeatureVector(int index, float value)
Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];index - The index to set the value at.value - The featureVector to set.public IndexDatapoint.Builder addFeatureVector(float value)
Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];value - The featureVector to add.public IndexDatapoint.Builder addAllFeatureVector(Iterable<? extends Float> values)
Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];values - The featureVector to add.public IndexDatapoint.Builder clearFeatureVector()
Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
repeated float feature_vector = 2 [(.google.api.field_behavior) = REQUIRED];public List<IndexDatapoint.Restriction> getRestrictsList()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
getRestrictsList in interface IndexDatapointOrBuilderpublic int getRestrictsCount()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
getRestrictsCount in interface IndexDatapointOrBuilderpublic IndexDatapoint.Restriction getRestricts(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
getRestricts in interface IndexDatapointOrBuilderpublic IndexDatapoint.Builder setRestricts(int index, IndexDatapoint.Restriction value)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder setRestricts(int index, IndexDatapoint.Restriction.Builder builderForValue)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addRestricts(IndexDatapoint.Restriction value)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addRestricts(int index, IndexDatapoint.Restriction value)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addRestricts(IndexDatapoint.Restriction.Builder builderForValue)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addRestricts(int index, IndexDatapoint.Restriction.Builder builderForValue)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addAllRestricts(Iterable<? extends IndexDatapoint.Restriction> values)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder clearRestricts()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder removeRestricts(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Restriction.Builder getRestrictsBuilder(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.RestrictionOrBuilder getRestrictsOrBuilder(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
getRestrictsOrBuilder in interface IndexDatapointOrBuilderpublic List<? extends IndexDatapoint.RestrictionOrBuilder> getRestrictsOrBuilderList()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
getRestrictsOrBuilderList in interface IndexDatapointOrBuilderpublic IndexDatapoint.Restriction.Builder addRestrictsBuilder()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Restriction.Builder addRestrictsBuilder(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public List<IndexDatapoint.Restriction.Builder> getRestrictsBuilderList()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
repeated .google.cloud.aiplatform.v1.IndexDatapoint.Restriction restricts = 4 [(.google.api.field_behavior) = OPTIONAL];
public List<IndexDatapoint.NumericRestriction> getNumericRestrictsList()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
getNumericRestrictsList in interface IndexDatapointOrBuilderpublic int getNumericRestrictsCount()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
getNumericRestrictsCount in interface IndexDatapointOrBuilderpublic IndexDatapoint.NumericRestriction getNumericRestricts(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
getNumericRestricts in interface IndexDatapointOrBuilderpublic IndexDatapoint.Builder setNumericRestricts(int index, IndexDatapoint.NumericRestriction value)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder setNumericRestricts(int index, IndexDatapoint.NumericRestriction.Builder builderForValue)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addNumericRestricts(IndexDatapoint.NumericRestriction value)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addNumericRestricts(int index, IndexDatapoint.NumericRestriction value)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addNumericRestricts(IndexDatapoint.NumericRestriction.Builder builderForValue)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addNumericRestricts(int index, IndexDatapoint.NumericRestriction.Builder builderForValue)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder addAllNumericRestricts(Iterable<? extends IndexDatapoint.NumericRestriction> values)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder clearNumericRestricts()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder removeNumericRestricts(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.NumericRestriction.Builder getNumericRestrictsBuilder(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.NumericRestrictionOrBuilder getNumericRestrictsOrBuilder(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
getNumericRestrictsOrBuilder in interface IndexDatapointOrBuilderpublic List<? extends IndexDatapoint.NumericRestrictionOrBuilder> getNumericRestrictsOrBuilderList()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
getNumericRestrictsOrBuilderList in interface IndexDatapointOrBuilderpublic IndexDatapoint.NumericRestriction.Builder addNumericRestrictsBuilder()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.NumericRestriction.Builder addNumericRestrictsBuilder(int index)
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public List<IndexDatapoint.NumericRestriction.Builder> getNumericRestrictsBuilderList()
Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. This uses numeric comparisons.
repeated .google.cloud.aiplatform.v1.IndexDatapoint.NumericRestriction numeric_restricts = 6 [(.google.api.field_behavior) = OPTIONAL];
public boolean hasCrowdingTag()
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
hasCrowdingTag in interface IndexDatapointOrBuilderpublic IndexDatapoint.CrowdingTag getCrowdingTag()
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
getCrowdingTag in interface IndexDatapointOrBuilderpublic IndexDatapoint.Builder setCrowdingTag(IndexDatapoint.CrowdingTag value)
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder setCrowdingTag(IndexDatapoint.CrowdingTag.Builder builderForValue)
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder mergeCrowdingTag(IndexDatapoint.CrowdingTag value)
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.Builder clearCrowdingTag()
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.CrowdingTag.Builder getCrowdingTagBuilder()
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
public IndexDatapoint.CrowdingTagOrBuilder getCrowdingTagOrBuilder()
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
.google.cloud.aiplatform.v1.IndexDatapoint.CrowdingTag crowding_tag = 5 [(.google.api.field_behavior) = OPTIONAL];
getCrowdingTagOrBuilder in interface IndexDatapointOrBuilderpublic final IndexDatapoint.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>public final IndexDatapoint.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<IndexDatapoint.Builder>Copyright © 2024 Google LLC. All rights reserved.