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public interface AutoMlImageSegmentationInputsOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getBaseModelId()
public abstract 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 | |
|---|---|
| Type | Description |
String |
The baseModelId. |
getBaseModelIdBytes()
public abstract 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 | |
|---|---|
| Type | Description |
ByteString |
The bytes for baseModelId. |
getBudgetMilliNodeHours()
public abstract 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 | |
|---|---|
| Type | Description |
long |
The budgetMilliNodeHours. |
getModelType()
public abstract AutoMlImageSegmentationInputs.ModelType getModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.ModelType |
The modelType. |
getModelTypeValue()
public abstract int getModelTypeValue()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
| Returns | |
|---|---|
| Type | Description |
int |
The enum numeric value on the wire for modelType. |