Interface AutoMlImageSegmentationMetadataOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
AutoMlImageSegmentationMetadata, AutoMlImageSegmentationMetadata.Builder

@Generated public interface AutoMlImageSegmentationMetadataOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Summary

    Modifier and Type
    Method
    Description
    long
    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.
    For successful job completions, this is the reason why the job has finished.
    int
    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 Details

    • 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

       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.