com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

Interface AutoMlImageObjectDetectionInputsOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

AutoMlImageObjectDetectionInputs, AutoMlImageObjectDetectionInputs.Builder

public interface AutoMlImageObjectDetectionInputsOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
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.
boolean	getDisableEarlyStopping() Use the entire training budget.
AutoMlImageObjectDetectionInputs.ModelType	getModelType() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
int	getModelTypeValue() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.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.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;

Returns:

The enum numeric value on the wire for modelType.

getModelType

AutoMlImageObjectDetectionInputs.ModelType getModelType()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.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.
 For modelType `cloud`(default), the budget must be between 20,000
 and 900,000 milli node hours, inclusive. The default value is 216,000
 which represents one day in wall time, considering 9 nodes are used.
 For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
 `mobile-tf-high-accuracy-1`
 the training budget must be between 1,000 and 100,000 milli node hours,
 inclusive. The default value is 24,000 which represents one day in
 wall time on a single node that is used.
 

int64 budget_milli_node_hours = 2;

Returns:

The budgetMilliNodeHours.

getDisableEarlyStopping

boolean getDisableEarlyStopping()

 Use the entire training budget. This disables the early stopping feature.
 When false the early stopping feature is enabled, which means that AutoML
 Image Object Detection might stop training before the entire training
 budget has been used.
 

bool disable_early_stopping = 3;

Returns:

The disableEarlyStopping.