Uses of Class
org.mlflow.api.proto.ModelRegistry.CreateModelVersion.Builder
Packages that use ModelRegistry.CreateModelVersion.Builder
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Uses of ModelRegistry.CreateModelVersion.Builder in org.mlflow.api.proto
Methods in org.mlflow.api.proto that return ModelRegistry.CreateModelVersion.BuilderModifier and TypeMethodDescriptionModelRegistry.CreateModelVersion.Builder.addAllTags(Iterable<? extends ModelRegistry.ModelVersionTag> values) Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) ModelRegistry.CreateModelVersion.Builder.addTags(int index, ModelRegistry.ModelVersionTag value) Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.addTags(int index, ModelRegistry.ModelVersionTag.Builder builderForValue) Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.addTags(ModelRegistry.ModelVersionTag value) Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.addTags(ModelRegistry.ModelVersionTag.Builder builderForValue) Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.clear()ModelRegistry.CreateModelVersion.Builder.clearDescription()Optional description for model version.ModelRegistry.CreateModelVersion.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) ModelRegistry.CreateModelVersion.Builder.clearModelId()Optional `model_id` for model version that is used to link the registered model to the source logged modelModelRegistry.CreateModelVersion.Builder.clearName()Register model under this nameModelRegistry.CreateModelVersion.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) ModelRegistry.CreateModelVersion.Builder.clearRunId()MLflow run ID for correlation, if ``source`` was generated by an experiment run in MLflow tracking serverModelRegistry.CreateModelVersion.Builder.clearRunLink()MLflow run link - this is the exact link of the run that generated this model version, potentially hosted at another instance of MLflow.ModelRegistry.CreateModelVersion.Builder.clearSource()URI indicating the location of the model artifacts.ModelRegistry.CreateModelVersion.Builder.clearTags()Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.clone()ModelRegistry.CreateModelVersion.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelRegistry.CreateModelVersion.Builder.mergeFrom(com.google.protobuf.Message other) ModelRegistry.CreateModelVersion.Builder.mergeFrom(ModelRegistry.CreateModelVersion other) ModelRegistry.CreateModelVersion.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) ModelRegistry.CreateModelVersion.newBuilder()ModelRegistry.CreateModelVersion.newBuilder(ModelRegistry.CreateModelVersion prototype) ModelRegistry.CreateModelVersion.newBuilderForType()protected ModelRegistry.CreateModelVersion.BuilderModelRegistry.CreateModelVersion.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) ModelRegistry.CreateModelVersion.Builder.removeTags(int index) Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.setDescription(String value) Optional description for model version.ModelRegistry.CreateModelVersion.Builder.setDescriptionBytes(com.google.protobuf.ByteString value) Optional description for model version.ModelRegistry.CreateModelVersion.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) ModelRegistry.CreateModelVersion.Builder.setModelId(String value) Optional `model_id` for model version that is used to link the registered model to the source logged modelModelRegistry.CreateModelVersion.Builder.setModelIdBytes(com.google.protobuf.ByteString value) Optional `model_id` for model version that is used to link the registered model to the source logged modelRegister model under this nameModelRegistry.CreateModelVersion.Builder.setNameBytes(com.google.protobuf.ByteString value) Register model under this nameModelRegistry.CreateModelVersion.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) MLflow run ID for correlation, if ``source`` was generated by an experiment run in MLflow tracking serverModelRegistry.CreateModelVersion.Builder.setRunIdBytes(com.google.protobuf.ByteString value) MLflow run ID for correlation, if ``source`` was generated by an experiment run in MLflow tracking serverModelRegistry.CreateModelVersion.Builder.setRunLink(String value) MLflow run link - this is the exact link of the run that generated this model version, potentially hosted at another instance of MLflow.ModelRegistry.CreateModelVersion.Builder.setRunLinkBytes(com.google.protobuf.ByteString value) MLflow run link - this is the exact link of the run that generated this model version, potentially hosted at another instance of MLflow.URI indicating the location of the model artifacts.ModelRegistry.CreateModelVersion.Builder.setSourceBytes(com.google.protobuf.ByteString value) URI indicating the location of the model artifacts.ModelRegistry.CreateModelVersion.Builder.setTags(int index, ModelRegistry.ModelVersionTag value) Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.setTags(int index, ModelRegistry.ModelVersionTag.Builder builderForValue) Additional metadata for model version.ModelRegistry.CreateModelVersion.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) ModelRegistry.CreateModelVersion.toBuilder()