Class Service.DatasetInput.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<Service.DatasetInput.Builder>
com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
org.mlflow.api.proto.Service.DatasetInput.Builder
All Implemented Interfaces:
com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable, Service.DatasetInputOrBuilder
Enclosing class:
Service.DatasetInput

public static final class Service.DatasetInput.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder> implements Service.DatasetInputOrBuilder
 DatasetInput. Represents a dataset and input tags.
 
Protobuf type mlflow.DatasetInput
  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • clear

      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • getDefaultInstanceForType

      public Service.DatasetInput getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder
    • build

      public Service.DatasetInput build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder
    • buildPartial

      public Service.DatasetInput buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder
    • clone

      Specified by:
      clone in interface com.google.protobuf.Message.Builder
      Specified by:
      clone in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clone in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • setField

      public Service.DatasetInput.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
      Specified by:
      setField in interface com.google.protobuf.Message.Builder
      Overrides:
      setField in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • clearField

      public Service.DatasetInput.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
      Specified by:
      clearField in interface com.google.protobuf.Message.Builder
      Overrides:
      clearField in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • clearOneof

      public Service.DatasetInput.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
      Specified by:
      clearOneof in interface com.google.protobuf.Message.Builder
      Overrides:
      clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • setRepeatedField

      public Service.DatasetInput.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
      Specified by:
      setRepeatedField in interface com.google.protobuf.Message.Builder
      Overrides:
      setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • addRepeatedField

      public Service.DatasetInput.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
      Specified by:
      addRepeatedField in interface com.google.protobuf.Message.Builder
      Overrides:
      addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • mergeFrom

      public Service.DatasetInput.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<Service.DatasetInput.Builder>
    • mergeFrom

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • mergeFrom

      public Service.DatasetInput.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<Service.DatasetInput.Builder>
      Throws:
      IOException
    • getTagsList

      public 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;
      Specified by:
      getTagsList in interface Service.DatasetInputOrBuilder
    • getTagsCount

      public int getTagsCount()
       A list of tags for the dataset input, e.g. a “context” tag with value “training”
       
      repeated .mlflow.InputTag tags = 1;
      Specified by:
      getTagsCount in interface Service.DatasetInputOrBuilder
    • getTags

      public 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;
      Specified by:
      getTags in interface Service.DatasetInputOrBuilder
    • setTags

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

      public Service.DatasetInput.Builder setTags(int index, Service.InputTag.Builder builderForValue)
       A list of tags for the dataset input, e.g. a “context” tag with value “training”
       
      repeated .mlflow.InputTag tags = 1;
    • addTags

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

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

      public Service.DatasetInput.Builder addTags(Service.InputTag.Builder builderForValue)
       A list of tags for the dataset input, e.g. a “context” tag with value “training”
       
      repeated .mlflow.InputTag tags = 1;
    • addTags

      public Service.DatasetInput.Builder addTags(int index, Service.InputTag.Builder builderForValue)
       A list of tags for the dataset input, e.g. a “context” tag with value “training”
       
      repeated .mlflow.InputTag tags = 1;
    • addAllTags

      public Service.DatasetInput.Builder addAllTags(Iterable<? extends Service.InputTag> values)
       A list of tags for the dataset input, e.g. a “context” tag with value “training”
       
      repeated .mlflow.InputTag tags = 1;
    • clearTags

      public Service.DatasetInput.Builder clearTags()
       A list of tags for the dataset input, e.g. a “context” tag with value “training”
       
      repeated .mlflow.InputTag tags = 1;
    • removeTags

      public Service.DatasetInput.Builder removeTags(int index)
       A list of tags for the dataset input, e.g. a “context” tag with value “training”
       
      repeated .mlflow.InputTag tags = 1;
    • getTagsBuilder

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

      public 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;
      Specified by:
      getTagsOrBuilder in interface Service.DatasetInputOrBuilder
    • getTagsOrBuilderList

      public 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;
      Specified by:
      getTagsOrBuilderList in interface Service.DatasetInputOrBuilder
    • addTagsBuilder

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

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

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

      public boolean hasDataset()
       The dataset being used as a Run input.
       
      optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
      Specified by:
      hasDataset in interface Service.DatasetInputOrBuilder
      Returns:
      Whether the dataset field is set.
    • getDataset

      public Service.Dataset getDataset()
       The dataset being used as a Run input.
       
      optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
      Specified by:
      getDataset in interface Service.DatasetInputOrBuilder
      Returns:
      The dataset.
    • setDataset

      public Service.DatasetInput.Builder setDataset(Service.Dataset value)
       The dataset being used as a Run input.
       
      optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
    • setDataset

      public Service.DatasetInput.Builder setDataset(Service.Dataset.Builder builderForValue)
       The dataset being used as a Run input.
       
      optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
    • mergeDataset

      public Service.DatasetInput.Builder mergeDataset(Service.Dataset value)
       The dataset being used as a Run input.
       
      optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
    • clearDataset

      public Service.DatasetInput.Builder clearDataset()
       The dataset being used as a Run input.
       
      optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
    • getDatasetBuilder

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

      public Service.DatasetOrBuilder getDatasetOrBuilder()
       The dataset being used as a Run input.
       
      optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
      Specified by:
      getDatasetOrBuilder in interface Service.DatasetInputOrBuilder
    • setUnknownFields

      public final Service.DatasetInput.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
      Specified by:
      setUnknownFields in interface com.google.protobuf.Message.Builder
      Overrides:
      setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>
    • mergeUnknownFields

      public final Service.DatasetInput.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
      Specified by:
      mergeUnknownFields in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<Service.DatasetInput.Builder>