Interface FindNeighborsRequest.QueryOrBuilder
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- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
FindNeighborsRequest.Query
,FindNeighborsRequest.Query.Builder
- Enclosing class:
- FindNeighborsRequest
public static interface FindNeighborsRequest.QueryOrBuilder extends com.google.protobuf.MessageOrBuilder
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description int
getApproximateNeighborCount()
The number of neighbors to find via approximate search before exact reordering is performed.IndexDatapoint
getDatapoint()
Required.IndexDatapointOrBuilder
getDatapointOrBuilder()
Required.double
getFractionLeafNodesToSearchOverride()
The fraction of the number of leaves to search, set at query time allows user to tune search performance.int
getNeighborCount()
The number of nearest neighbors to be retrieved from database for each query.int
getPerCrowdingAttributeNeighborCount()
Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.boolean
hasDatapoint()
Required.-
Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Detail
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hasDatapoint
boolean hasDatapoint()
Required. The datapoint/vector whose nearest neighbors should be searched for.
.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];
- Returns:
- Whether the datapoint field is set.
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getDatapoint
IndexDatapoint getDatapoint()
Required. The datapoint/vector whose nearest neighbors should be searched for.
.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];
- Returns:
- The datapoint.
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getDatapointOrBuilder
IndexDatapointOrBuilder getDatapointOrBuilder()
Required. The datapoint/vector whose nearest neighbors should be searched for.
.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];
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getNeighborCount
int getNeighborCount()
The number of nearest neighbors to be retrieved from database for each query. If not set, will use the default from the service configuration (https://cloud.google.com/vertex-ai/docs/matching-engine/configuring-indexes#nearest-neighbor-search-config).
int32 neighbor_count = 2;
- Returns:
- The neighborCount.
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getPerCrowdingAttributeNeighborCount
int getPerCrowdingAttributeNeighborCount()
Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute. It's used for improving result diversity. This field is the maximum number of matches with the same crowding tag.
int32 per_crowding_attribute_neighbor_count = 3;
- Returns:
- The perCrowdingAttributeNeighborCount.
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getApproximateNeighborCount
int getApproximateNeighborCount()
The number of neighbors to find via approximate search before exact reordering is performed. If not set, the default value from scam config is used; if set, this value must be > 0.
int32 approximate_neighbor_count = 4;
- Returns:
- The approximateNeighborCount.
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getFractionLeafNodesToSearchOverride
double getFractionLeafNodesToSearchOverride()
The fraction of the number of leaves to search, set at query time allows user to tune search performance. This value increase result in both search accuracy and latency increase. The value should be between 0.0 and 1.0. If not set or set to 0.0, query uses the default value specified in NearestNeighborSearchConfig.TreeAHConfig.fraction_leaf_nodes_to_search.
double fraction_leaf_nodes_to_search_override = 5;
- Returns:
- The fractionLeafNodesToSearchOverride.
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