Interface AutoMlImageSegmentationInputsOrBuilder
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- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder
,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
AutoMlImageSegmentationInputs
,AutoMlImageSegmentationInputs.Builder
public interface AutoMlImageSegmentationInputsOrBuilder extends com.google.protobuf.MessageOrBuilder
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description String
getBaseModelId()
The ID of the `base` model.com.google.protobuf.ByteString
getBaseModelIdBytes()
The ID of the `base` model.long
getBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node hours i.e.AutoMlImageSegmentationInputs.ModelType
getModelType()
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
int
getModelTypeValue()
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
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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 Detail
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getModelTypeValue
int getModelTypeValue()
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
- Returns:
- The enum numeric value on the wire for modelType.
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getModelType
AutoMlImageSegmentationInputs.ModelType getModelType()
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
- Returns:
- The modelType.
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getBudgetMilliNodeHours
long getBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual metadata.costMilliNodeHours will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using the full budget and the metadata.successfulStopReason will be `model-converged`. Note, node_hour = actual_hour * number_of_nodes_involved. Or actaul_wall_clock_hours = train_budget_milli_node_hours / (number_of_nodes_involved * 1000) For modelType `cloud-high-accuracy-1`(default), the budget must be between 20,000 and 2,000,000 milli node hours, inclusive. The default value is 192,000 which represents one day in wall time (1000 milli * 24 hours * 8 nodes).
int64 budget_milli_node_hours = 2;
- Returns:
- The budgetMilliNodeHours.
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getBaseModelId
String getBaseModelId()
The ID of the `base` model. If it is specified, the new model will be trained based on the `base` model. Otherwise, the new model will be trained from scratch. The `base` model must be in the same Project and Location as the new Model to train, and have the same modelType.
string base_model_id = 3;
- Returns:
- The baseModelId.
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getBaseModelIdBytes
com.google.protobuf.ByteString getBaseModelIdBytes()
The ID of the `base` model. If it is specified, the new model will be trained based on the `base` model. Otherwise, the new model will be trained from scratch. The `base` model must be in the same Project and Location as the new Model to train, and have the same modelType.
string base_model_id = 3;
- Returns:
- The bytes for baseModelId.
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