Uses of Class
io.metaloom.qdrant.client.grpc.proto.Points.RecommendPoints
Packages that use Points.RecommendPoints
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Uses of Points.RecommendPoints in io.metaloom.qdrant.client.grpc.method
Method parameters in io.metaloom.qdrant.client.grpc.method with type arguments of type Points.RecommendPointsModifier and TypeMethodDescriptionSearchMethods.recommendBatchPoints(String collectionName, List<? extends Points.RecommendPoints> searches) Look for the points which are closer to stored positive examples and at the same time further to negative examples. -
Uses of Points.RecommendPoints in io.metaloom.qdrant.client.grpc.proto
Methods in io.metaloom.qdrant.client.grpc.proto that return Points.RecommendPointsModifier and TypeMethodDescriptionPoints.RecommendPoints.Builder.build()Points.RecommendPoints.Builder.buildPartial()static Points.RecommendPointsPoints.RecommendPoints.getDefaultInstance()Points.RecommendPoints.Builder.getDefaultInstanceForType()Points.RecommendPoints.getDefaultInstanceForType()Points.RecommendBatchPoints.Builder.getRecommendPoints(int index) repeated .qdrant.RecommendPoints recommend_points = 2;Points.RecommendBatchPoints.getRecommendPoints(int index) repeated .qdrant.RecommendPoints recommend_points = 2;Points.RecommendBatchPointsOrBuilder.getRecommendPoints(int index) repeated .qdrant.RecommendPoints recommend_points = 2;PointsInternalService.RecommendPointsInternal.Builder.getRecommendPoints().qdrant.RecommendPoints recommend_points = 1;PointsInternalService.RecommendPointsInternal.getRecommendPoints().qdrant.RecommendPoints recommend_points = 1;PointsInternalService.RecommendPointsInternalOrBuilder.getRecommendPoints().qdrant.RecommendPoints recommend_points = 1;static Points.RecommendPointsPoints.RecommendPoints.parseDelimitedFrom(InputStream input) static Points.RecommendPointsPoints.RecommendPoints.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(byte[] data) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(com.google.protobuf.ByteString data) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(com.google.protobuf.CodedInputStream input) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(InputStream input) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(ByteBuffer data) static Points.RecommendPointsPoints.RecommendPoints.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in io.metaloom.qdrant.client.grpc.proto that return types with arguments of type Points.RecommendPointsModifier and TypeMethodDescriptioncom.google.protobuf.Parser<Points.RecommendPoints>Points.RecommendPoints.getParserForType()static io.grpc.MethodDescriptor<Points.RecommendPoints,Points.RecommendResponse> PointsGrpc.getRecommendMethod()Points.RecommendBatchPoints.Builder.getRecommendPointsList()repeated .qdrant.RecommendPoints recommend_points = 2;Points.RecommendBatchPoints.getRecommendPointsList()repeated .qdrant.RecommendPoints recommend_points = 2;Points.RecommendBatchPointsOrBuilder.getRecommendPointsList()repeated .qdrant.RecommendPoints recommend_points = 2;static com.google.protobuf.Parser<Points.RecommendPoints>Points.RecommendPoints.parser()Methods in io.metaloom.qdrant.client.grpc.proto with parameters of type Points.RecommendPointsModifier and TypeMethodDescriptionPoints.RecommendBatchPoints.Builder.addRecommendPoints(int index, Points.RecommendPoints value) repeated .qdrant.RecommendPoints recommend_points = 2;Points.RecommendBatchPoints.Builder.addRecommendPoints(Points.RecommendPoints value) repeated .qdrant.RecommendPoints recommend_points = 2;Points.RecommendPoints.Builder.mergeFrom(Points.RecommendPoints other) PointsInternalService.RecommendPointsInternal.Builder.mergeRecommendPoints(Points.RecommendPoints value) .qdrant.RecommendPoints recommend_points = 1;Points.RecommendPoints.newBuilder(Points.RecommendPoints prototype) PointsGrpc.PointsBlockingStub.recommend(Points.RecommendPoints request) Look for the points which are closer to stored positive examples and at the same time further to negative examples.com.google.common.util.concurrent.ListenableFuture<Points.RecommendResponse>PointsGrpc.PointsFutureStub.recommend(Points.RecommendPoints request) Look for the points which are closer to stored positive examples and at the same time further to negative examples.voidPointsGrpc.PointsImplBase.recommend(Points.RecommendPoints request, io.grpc.stub.StreamObserver<Points.RecommendResponse> responseObserver) Look for the points which are closer to stored positive examples and at the same time further to negative examples.voidPointsGrpc.PointsStub.recommend(Points.RecommendPoints request, io.grpc.stub.StreamObserver<Points.RecommendResponse> responseObserver) Look for the points which are closer to stored positive examples and at the same time further to negative examples.Points.RecommendBatchPoints.Builder.setRecommendPoints(int index, Points.RecommendPoints value) repeated .qdrant.RecommendPoints recommend_points = 2;PointsInternalService.RecommendPointsInternal.Builder.setRecommendPoints(Points.RecommendPoints value) .qdrant.RecommendPoints recommend_points = 1;Method parameters in io.metaloom.qdrant.client.grpc.proto with type arguments of type Points.RecommendPointsModifier and TypeMethodDescriptionPoints.RecommendBatchPoints.Builder.addAllRecommendPoints(Iterable<? extends Points.RecommendPoints> values) repeated .qdrant.RecommendPoints recommend_points = 2;