Uses of Class
org.mlflow.api.proto.ModelRegistry.RegisteredModel
Packages that use ModelRegistry.RegisteredModel
Package
Description
Autogenerated MLflow Tracking API entity objects.
MLflow Tracking provides a Java CRUD interface to MLflow Experiments and Runs --
to create and log to MLflow runs, use the
MlflowContext interface.-
Uses of ModelRegistry.RegisteredModel in org.mlflow.api.proto
Fields in org.mlflow.api.proto with type parameters of type ModelRegistry.RegisteredModelModifier and TypeFieldDescriptionstatic final com.google.protobuf.Parser<ModelRegistry.RegisteredModel>ModelRegistry.RegisteredModel.PARSERDeprecated.Methods in org.mlflow.api.proto that return ModelRegistry.RegisteredModelModifier and TypeMethodDescriptionModelRegistry.RegisteredModel.Builder.build()ModelRegistry.RegisteredModel.Builder.buildPartial()ModelRegistry.RegisteredModel.getDefaultInstance()ModelRegistry.RegisteredModel.Builder.getDefaultInstanceForType()ModelRegistry.RegisteredModel.getDefaultInstanceForType()ModelRegistry.CreateRegisteredModel.Response.Builder.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.CreateRegisteredModel.Response.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.CreateRegisteredModel.ResponseOrBuilder.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.GetRegisteredModel.Response.Builder.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.GetRegisteredModel.Response.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.GetRegisteredModel.ResponseOrBuilder.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.RenameRegisteredModel.Response.Builder.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.RenameRegisteredModel.Response.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.RenameRegisteredModel.ResponseOrBuilder.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.UpdateRegisteredModel.Response.Builder.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.UpdateRegisteredModel.Response.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.UpdateRegisteredModel.ResponseOrBuilder.getRegisteredModel()optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.SearchRegisteredModels.Response.Builder.getRegisteredModels(int index) Registered Models that match the search criteria.ModelRegistry.SearchRegisteredModels.Response.getRegisteredModels(int index) Registered Models that match the search criteria.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder.getRegisteredModels(int index) Registered Models that match the search criteria.ModelRegistry.RegisteredModel.parseDelimitedFrom(InputStream input) ModelRegistry.RegisteredModel.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelRegistry.RegisteredModel.parseFrom(byte[] data) ModelRegistry.RegisteredModel.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelRegistry.RegisteredModel.parseFrom(com.google.protobuf.ByteString data) ModelRegistry.RegisteredModel.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelRegistry.RegisteredModel.parseFrom(com.google.protobuf.CodedInputStream input) ModelRegistry.RegisteredModel.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelRegistry.RegisteredModel.parseFrom(InputStream input) ModelRegistry.RegisteredModel.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelRegistry.RegisteredModel.parseFrom(ByteBuffer data) ModelRegistry.RegisteredModel.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in org.mlflow.api.proto that return types with arguments of type ModelRegistry.RegisteredModelModifier and TypeMethodDescriptioncom.google.protobuf.Parser<ModelRegistry.RegisteredModel>ModelRegistry.RegisteredModel.getParserForType()ModelRegistry.SearchRegisteredModels.Response.Builder.getRegisteredModelsList()Registered Models that match the search criteria.ModelRegistry.SearchRegisteredModels.Response.getRegisteredModelsList()Registered Models that match the search criteria.ModelRegistry.SearchRegisteredModels.ResponseOrBuilder.getRegisteredModelsList()Registered Models that match the search criteria.static com.google.protobuf.Parser<ModelRegistry.RegisteredModel>ModelRegistry.RegisteredModel.parser()Methods in org.mlflow.api.proto with parameters of type ModelRegistry.RegisteredModelModifier and TypeMethodDescriptionModelRegistry.SearchRegisteredModels.Response.Builder.addRegisteredModels(int index, ModelRegistry.RegisteredModel value) Registered Models that match the search criteria.ModelRegistry.SearchRegisteredModels.Response.Builder.addRegisteredModels(ModelRegistry.RegisteredModel value) Registered Models that match the search criteria.ModelRegistry.RegisteredModel.Builder.mergeFrom(ModelRegistry.RegisteredModel other) ModelRegistry.CreateRegisteredModel.Response.Builder.mergeRegisteredModel(ModelRegistry.RegisteredModel value) optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.GetRegisteredModel.Response.Builder.mergeRegisteredModel(ModelRegistry.RegisteredModel value) optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.RenameRegisteredModel.Response.Builder.mergeRegisteredModel(ModelRegistry.RegisteredModel value) optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.UpdateRegisteredModel.Response.Builder.mergeRegisteredModel(ModelRegistry.RegisteredModel value) optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.RegisteredModel.newBuilder(ModelRegistry.RegisteredModel prototype) ModelRegistry.CreateRegisteredModel.Response.Builder.setRegisteredModel(ModelRegistry.RegisteredModel value) optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.GetRegisteredModel.Response.Builder.setRegisteredModel(ModelRegistry.RegisteredModel value) optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.RenameRegisteredModel.Response.Builder.setRegisteredModel(ModelRegistry.RegisteredModel value) optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.UpdateRegisteredModel.Response.Builder.setRegisteredModel(ModelRegistry.RegisteredModel value) optional .mlflow.RegisteredModel registered_model = 1;ModelRegistry.SearchRegisteredModels.Response.Builder.setRegisteredModels(int index, ModelRegistry.RegisteredModel value) Registered Models that match the search criteria.Method parameters in org.mlflow.api.proto with type arguments of type ModelRegistry.RegisteredModelModifier and TypeMethodDescriptionModelRegistry.SearchRegisteredModels.Response.Builder.addAllRegisteredModels(Iterable<? extends ModelRegistry.RegisteredModel> values) Registered Models that match the search criteria. -
Uses of ModelRegistry.RegisteredModel in org.mlflow.tracking
Methods in org.mlflow.tracking that return ModelRegistry.RegisteredModelModifier and TypeMethodDescriptionMlflowClient.getRegisteredModel(String modelName) Returns a RegisteredModel from the model registry for the given model name.