Package org.mlflow.api.proto
Interface Service.LogInputsOrBuilder
- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
Service.LogInputs
,Service.LogInputs.Builder
- Enclosing class:
Service
public static interface Service.LogInputsOrBuilder
extends com.google.protobuf.MessageOrBuilder
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Method Summary
Modifier and TypeMethodDescriptiongetDatasets
(int index) Dataset inputsint
Dataset inputsDataset inputsgetDatasetsOrBuilder
(int index) Dataset inputsList
<? extends Service.DatasetInputOrBuilder> Dataset inputsgetRunId()
ID of the run to log undercom.google.protobuf.ByteString
ID of the run to log underboolean
hasRunId()
ID of the run to log underMethods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitialized
Methods 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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hasRunId
boolean hasRunId()ID of the run to log under
optional string run_id = 1 [(.mlflow.validate_required) = true];
- Returns:
- Whether the runId field is set.
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getRunId
String getRunId()ID of the run to log under
optional string run_id = 1 [(.mlflow.validate_required) = true];
- Returns:
- The runId.
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getRunIdBytes
com.google.protobuf.ByteString getRunIdBytes()ID of the run to log under
optional string run_id = 1 [(.mlflow.validate_required) = true];
- Returns:
- The bytes for runId.
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getDatasetsList
List<Service.DatasetInput> getDatasetsList()Dataset inputs
repeated .mlflow.DatasetInput datasets = 2;
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getDatasets
Dataset inputs
repeated .mlflow.DatasetInput datasets = 2;
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getDatasetsCount
int getDatasetsCount()Dataset inputs
repeated .mlflow.DatasetInput datasets = 2;
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getDatasetsOrBuilderList
List<? extends Service.DatasetInputOrBuilder> getDatasetsOrBuilderList()Dataset inputs
repeated .mlflow.DatasetInput datasets = 2;
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getDatasetsOrBuilder
Dataset inputs
repeated .mlflow.DatasetInput datasets = 2;
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