AutoMlImageSegmentationMetadataOrBuilder (Google Cloud Vertex AI Parent 3.25.0 API)

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

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`long`	`getCostMilliNodeHours()`	The actual training cost of creating this model, expressed in milli node hours, i.e.
`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.MessageLiteOrBuilder
isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

- 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.v1.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.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
    Returns:
    
    The successfulStopReason.