Package org.mlflow.api.proto

Interface Service.DatasetInputOrBuilder

  • All Superinterfaces:
    com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    Service.DatasetInput, Service.DatasetInput.Builder
    Enclosing class:
    Service
    public static interface Service.DatasetInputOrBuilder
extends com.google.protobuf.MessageOrBuilder

    • Method Detail

      • getTagsList

        java.util.List<Service.InputTag> getTagsList()
         A list of tags for the dataset input, e.g. a “context” tag with value “training”
        repeated .mlflow.InputTag tags = 1;

      • getTags

        Service.InputTag getTags​(int index)
         A list of tags for the dataset input, e.g. a “context” tag with value “training”
        repeated .mlflow.InputTag tags = 1;

      • getTagsCount

        int getTagsCount()
         A list of tags for the dataset input, e.g. a “context” tag with value “training”
        repeated .mlflow.InputTag tags = 1;

      • getTagsOrBuilderList

        java.util.List<? extends Service.InputTagOrBuilder> getTagsOrBuilderList()
         A list of tags for the dataset input, e.g. a “context” tag with value “training”
        repeated .mlflow.InputTag tags = 1;

      • getTagsOrBuilder

        Service.InputTagOrBuilder getTagsOrBuilder​(int index)
         A list of tags for the dataset input, e.g. a “context” tag with value “training”
        repeated .mlflow.InputTag tags = 1;

      • hasDataset

        boolean hasDataset()
         The dataset being used as a Run input.
        optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
        Returns:
        Whether the dataset field is set.

      • getDataset

        Service.Dataset getDataset()
         The dataset being used as a Run input.
        optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
        Returns:
        The dataset.

      • getDatasetOrBuilder

        Service.DatasetOrBuilder getDatasetOrBuilder()
         The dataset being used as a Run input.
        optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];