Package org.mlflow.api.proto
Interface Service.CreateLoggedModelOrBuilder
- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
Service.CreateLoggedModel
,Service.CreateLoggedModel.Builder
- Enclosing class:
- Service
public static interface Service.CreateLoggedModelOrBuilder
extends com.google.protobuf.MessageOrBuilder
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Method Summary
Modifier and TypeMethodDescriptionID of the associated experiment.com.google.protobuf.ByteString
ID of the associated experiment.The type of model, such as "Agent", "Classifier", "LLM".com.google.protobuf.ByteString
The type of model, such as "Agent", "Classifier", "LLM".getName()
Name of the model.com.google.protobuf.ByteString
Name of the model.getParams
(int index) LoggedModel params.int
LoggedModel params.LoggedModel params.getParamsOrBuilder
(int index) LoggedModel params.List<? extends Service.LoggedModelParameterOrBuilder>
LoggedModel params.Run ID of the run that created this model.com.google.protobuf.ByteString
Run ID of the run that created this model.getTags
(int index) LoggedModel tags.int
LoggedModel tags.LoggedModel tags.getTagsOrBuilder
(int index) LoggedModel tags.List<? extends Service.LoggedModelTagOrBuilder>
LoggedModel tags.boolean
ID of the associated experiment.boolean
The type of model, such as "Agent", "Classifier", "LLM".boolean
hasName()
Name of the model.boolean
Run ID of the run that created this model.Methods 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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hasExperimentId
boolean hasExperimentId()ID of the associated experiment.
optional string experiment_id = 1 [(.mlflow.validate_required) = true];
- Returns:
- Whether the experimentId field is set.
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getExperimentId
String getExperimentId()ID of the associated experiment.
optional string experiment_id = 1 [(.mlflow.validate_required) = true];
- Returns:
- The experimentId.
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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.
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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.
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getName
String getName()Name of the model. Optional. If not specified, the backend will generate one.
optional string name = 2;
- Returns:
- The name.
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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.
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hasModelType
boolean hasModelType()The type of model, such as "Agent", "Classifier", "LLM".
optional string model_type = 3;
- Returns:
- Whether the modelType field is set.
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getModelType
String getModelType()The type of model, such as "Agent", "Classifier", "LLM".
optional string model_type = 3;
- Returns:
- The modelType.
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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.
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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.
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getSourceRunId
String getSourceRunId()Run ID of the run that created this model.
optional string source_run_id = 4;
- Returns:
- The sourceRunId.
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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.
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getParamsList
List<Service.LoggedModelParameter> getParamsList()LoggedModel params.
repeated .mlflow.LoggedModelParameter params = 5;
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getParams
LoggedModel params.
repeated .mlflow.LoggedModelParameter params = 5;
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getParamsCount
int getParamsCount()LoggedModel params.
repeated .mlflow.LoggedModelParameter params = 5;
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getParamsOrBuilderList
List<? extends Service.LoggedModelParameterOrBuilder> getParamsOrBuilderList()LoggedModel params.
repeated .mlflow.LoggedModelParameter params = 5;
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getParamsOrBuilder
LoggedModel params.
repeated .mlflow.LoggedModelParameter params = 5;
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getTagsList
List<Service.LoggedModelTag> getTagsList()LoggedModel tags.
repeated .mlflow.LoggedModelTag tags = 6;
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getTags
LoggedModel tags.
repeated .mlflow.LoggedModelTag tags = 6;
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getTagsCount
int getTagsCount()LoggedModel tags.
repeated .mlflow.LoggedModelTag tags = 6;
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getTagsOrBuilderList
List<? extends Service.LoggedModelTagOrBuilder> getTagsOrBuilderList()LoggedModel tags.
repeated .mlflow.LoggedModelTag tags = 6;
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getTagsOrBuilder
LoggedModel tags.
repeated .mlflow.LoggedModelTag tags = 6;
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