Autogenerated MLflow Tracking API entity objects.
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Service.LogModel.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value)
Service.LogModel.Builder.clear()
Service.LogModel.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
MLmodel file in json format.
Service.LogModel.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
ID of the run to log under
Service.LogModel.Builder.clone()
Service.LogModel.Builder.mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Service.LogModel.Builder.mergeFrom(com.google.protobuf.Message other)
Service.LogModel.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
Service.LogModel.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
Service.LogModel.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value)
MLmodel file in json format.
MLmodel file in json format.
Service.LogModel.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value)
ID of the run to log under
Service.LogModel.Builder.setRunIdBytes(com.google.protobuf.ByteString value)
ID of the run to log under
Service.LogModel.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)