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

Interface AutoMlImageSegmentationMetadataOrBuilder

All Superinterfaces:

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

All Known Implementing Classes:

AutoMlImageSegmentationMetadata, AutoMlImageSegmentationMetadata.Builder

public interface AutoMlImageSegmentationMetadataOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
long	getCostMilliNodeHours() The actual training cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour.
AutoMlImageSegmentationMetadata.SuccessfulStopReason	getSuccessfulStopReason() For successful job completions, this is the reason why the job has finished.
int	getSuccessfulStopReasonValue() For successful job completions, this is the reason why the job has finished.

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

getCostMilliNodeHours

long getCostMilliNodeHours()

 The actual training cost of creating this model, expressed in
 milli node hours, i.e. 1,000 value in this field means 1 node hour.
 Guaranteed to not exceed inputs.budgetMilliNodeHours.
 

int64 cost_milli_node_hours = 1;

Returns:

The costMilliNodeHours.

getSuccessfulStopReasonValue

int getSuccessfulStopReasonValue()

 For successful job completions, this is the reason why the job has
 finished.
 

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;

Returns:

The enum numeric value on the wire for successfulStopReason.

getSuccessfulStopReason

AutoMlImageSegmentationMetadata.SuccessfulStopReason getSuccessfulStopReason()

 For successful job completions, this is the reason why the job has
 finished.
 

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;

Returns:

The successfulStopReason.