com.google.cloud.aiplatform.v1.schema.trainingjob.definition

Interface AutoMlImageSegmentationInputsOrBuilder

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

Method Summary

Modifier and Type	Method and 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. 1,000 value in this field means 1 node hour.
AutoMlImageSegmentationInputs.ModelType	getModelType() .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
int	getModelTypeValue() .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getModelTypeValue

int getModelTypeValue()

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;

Returns:

The enum numeric value on the wire for modelType.

getModelType

AutoMlImageSegmentationInputs.ModelType getModelType()

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;

Returns:

The modelType.

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.

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.

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.