Interface AutoMlImageSegmentationMetadataOrBuilder (3.6.0)

Version 3.6.0

• 3.56.0 (latest)
• 3.55.0
• 3.54.0
• 3.53.0
• 3.52.0
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public interface AutoMlImageSegmentationMetadataOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getCostMilliNodeHours()

public abstract 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

Type	Description
long	The costMilliNodeHours.

getSuccessfulStopReason()

public abstract 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

Type	Description
AutoMlImageSegmentationMetadata.SuccessfulStopReason	The successfulStopReason.

getSuccessfulStopReasonValue()

public abstract 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

Type	Description
int	The enum numeric value on the wire for successfulStopReason.