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
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Method Summary
Modifier and TypeMethodDescriptionThe dataset being used as a Run input.The dataset being used as a Run input.getTags(int index) A list of tags for the dataset input, e.g.intA list of tags for the dataset input, e.g.A list of tags for the dataset input, e.g.getTagsOrBuilder(int index) A list of tags for the dataset input, e.g.List<? extends Service.InputTagOrBuilder>A list of tags for the dataset input, e.g.booleanThe dataset being used as a Run input.Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitializedMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Details
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getTagsList
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
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
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
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.
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getDataset
Service.Dataset getDataset()The dataset being used as a Run input.
optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];- Returns:
- The dataset.
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getDatasetOrBuilder
Service.DatasetOrBuilder getDatasetOrBuilder()The dataset being used as a Run input.
optional .mlflow.Dataset dataset = 2 [(.mlflow.validate_required) = true];
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