Uses of Class
io.metaloom.qdrant.client.grpc.proto.Points.RecommendBatchResponse
Packages that use Points.RecommendBatchResponse
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Uses of Points.RecommendBatchResponse in io.metaloom.qdrant.client.grpc.method
Methods in io.metaloom.qdrant.client.grpc.method that return types with arguments of type Points.RecommendBatchResponseModifier 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.RecommendBatchResponse in io.metaloom.qdrant.client.grpc.proto
Methods in io.metaloom.qdrant.client.grpc.proto that return Points.RecommendBatchResponseModifier and TypeMethodDescriptionPoints.RecommendBatchResponse.Builder.build()Points.RecommendBatchResponse.Builder.buildPartial()Points.RecommendBatchResponse.getDefaultInstance()Points.RecommendBatchResponse.Builder.getDefaultInstanceForType()Points.RecommendBatchResponse.getDefaultInstanceForType()Points.RecommendBatchResponse.parseDelimitedFrom(InputStream input) Points.RecommendBatchResponse.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Points.RecommendBatchResponse.parseFrom(byte[] data) Points.RecommendBatchResponse.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Points.RecommendBatchResponse.parseFrom(com.google.protobuf.ByteString data) Points.RecommendBatchResponse.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Points.RecommendBatchResponse.parseFrom(com.google.protobuf.CodedInputStream input) Points.RecommendBatchResponse.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Points.RecommendBatchResponse.parseFrom(InputStream input) Points.RecommendBatchResponse.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Points.RecommendBatchResponse.parseFrom(ByteBuffer data) Points.RecommendBatchResponse.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) PointsGrpc.PointsBlockingStub.recommendBatch(Points.RecommendBatchPoints request) Look for the points which are closer to stored positive examples and at the same time further to negative examples.Methods in io.metaloom.qdrant.client.grpc.proto that return types with arguments of type Points.RecommendBatchResponseModifier and TypeMethodDescriptioncom.google.protobuf.Parser<Points.RecommendBatchResponse>Points.RecommendBatchResponse.getParserForType()static io.grpc.MethodDescriptor<Points.RecommendBatchPoints,Points.RecommendBatchResponse> PointsGrpc.getRecommendBatchMethod()static com.google.protobuf.Parser<Points.RecommendBatchResponse>Points.RecommendBatchResponse.parser()com.google.common.util.concurrent.ListenableFuture<Points.RecommendBatchResponse>PointsGrpc.PointsFutureStub.recommendBatch(Points.RecommendBatchPoints request) Look for the points which are closer to stored positive examples and at the same time further to negative examples.Methods in io.metaloom.qdrant.client.grpc.proto with parameters of type Points.RecommendBatchResponseModifier and TypeMethodDescriptionPoints.RecommendBatchResponse.Builder.mergeFrom(Points.RecommendBatchResponse other) Points.RecommendBatchResponse.newBuilder(Points.RecommendBatchResponse prototype) Method parameters in io.metaloom.qdrant.client.grpc.proto with type arguments of type Points.RecommendBatchResponseModifier and TypeMethodDescriptionvoidPointsGrpc.PointsImplBase.recommendBatch(Points.RecommendBatchPoints request, io.grpc.stub.StreamObserver<Points.RecommendBatchResponse> responseObserver) Look for the points which are closer to stored positive examples and at the same time further to negative examples.voidPointsGrpc.PointsStub.recommendBatch(Points.RecommendBatchPoints request, io.grpc.stub.StreamObserver<Points.RecommendBatchResponse> responseObserver) Look for the points which are closer to stored positive examples and at the same time further to negative examples.