Package org.mlflow.api.proto

Interface Service.CreateLoggedModelOrBuilder

    • Method Detail

      • hasExperimentId

        boolean hasExperimentId()
         ID of the associated experiment.
        optional string experiment_id = 1 [(.mlflow.validate_required) = true];
        Returns:
        Whether the experimentId field is set.

      • getExperimentId

        java.lang.String getExperimentId()
         ID of the associated experiment.
        optional string experiment_id = 1 [(.mlflow.validate_required) = true];
        Returns:
        The experimentId.

      • getExperimentIdBytes

        com.google.protobuf.ByteString getExperimentIdBytes()
         ID of the associated experiment.
        optional string experiment_id = 1 [(.mlflow.validate_required) = true];
        Returns:
        The bytes for experimentId.

      • hasName

        boolean hasName()
         Name of the model. Optional. If not specified, the backend will generate one.
        optional string name = 2;
        Returns:
        Whether the name field is set.

      • getName

        java.lang.String getName()
         Name of the model. Optional. If not specified, the backend will generate one.
        optional string name = 2;
        Returns:
        The name.

      • getNameBytes

        com.google.protobuf.ByteString getNameBytes()
         Name of the model. Optional. If not specified, the backend will generate one.
        optional string name = 2;
        Returns:
        The bytes for name.

      • hasModelType

        boolean hasModelType()
         The type of model, such as "Agent", "Classifier", "LLM".
        optional string model_type = 3;
        Returns:
        Whether the modelType field is set.

      • getModelType

        java.lang.String getModelType()
         The type of model, such as "Agent", "Classifier", "LLM".
        optional string model_type = 3;
        Returns:
        The modelType.

      • getModelTypeBytes

        com.google.protobuf.ByteString getModelTypeBytes()
         The type of model, such as "Agent", "Classifier", "LLM".
        optional string model_type = 3;
        Returns:
        The bytes for modelType.

      • hasSourceRunId

        boolean hasSourceRunId()
         Run ID of the run that created this model.
        optional string source_run_id = 4;
        Returns:
        Whether the sourceRunId field is set.

      • getSourceRunId

        java.lang.String getSourceRunId()
         Run ID of the run that created this model.
        optional string source_run_id = 4;
        Returns:
        The sourceRunId.

      • getSourceRunIdBytes

        com.google.protobuf.ByteString getSourceRunIdBytes()
         Run ID of the run that created this model.
        optional string source_run_id = 4;
        Returns:
        The bytes for sourceRunId.

      • getParamsList

        java.util.List<Service.LoggedModelParameter> getParamsList()
         LoggedModel params.
        repeated .mlflow.LoggedModelParameter params = 5;

      • getParamsCount

        int getParamsCount()
         LoggedModel params.
        repeated .mlflow.LoggedModelParameter params = 5;

      • getTagsList

        java.util.List<Service.LoggedModelTag> getTagsList()
         LoggedModel tags.
        repeated .mlflow.LoggedModelTag tags = 6;

      • getTags

        Service.LoggedModelTag getTags​(int index)
         LoggedModel tags.
        repeated .mlflow.LoggedModelTag tags = 6;

      • getTagsCount

        int getTagsCount()
         LoggedModel tags.
        repeated .mlflow.LoggedModelTag tags = 6;

      • getTagsOrBuilderList

        java.util.List<? extends Service.LoggedModelTagOrBuilder> getTagsOrBuilderList()
         LoggedModel tags.
        repeated .mlflow.LoggedModelTag tags = 6;