Package com.google.cloud.aiplatform.v1.schema.trainingjob.definition

Interface AutoMlImageSegmentationInputsOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
AutoMlImageSegmentationInputs, AutoMlImageSegmentationInputs.Builder
@Generated public interface AutoMlImageSegmentationInputsOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    String
    getBaseModelId()
    The ID of the `base` model.
    com.google.protobuf.ByteString
    getBaseModelIdBytes()
    The ID of the `base` model.
    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.
    AutoMlImageSegmentationInputs.ModelType
    getModelType()
    .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
    int
    getModelTypeValue()
    .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;

    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

    • getModelTypeValue

      int getModelTypeValue()
      .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
      Returns:
      The enum numeric value on the wire for modelType.

    • getModelType

      AutoMlImageSegmentationInputs.ModelType getModelType()
      .google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.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. Or
 actaul_wall_clock_hours = train_budget_milli_node_hours /
 (number_of_nodes_involved * 1000)
 For modelType `cloud-high-accuracy-1`(default), the budget must be between
 20,000 and 2,000,000 milli node hours, inclusive. The default value is
 192,000 which represents one day in wall time
 (1000 milli * 24 hours * 8 nodes).
      int64 budget_milli_node_hours = 2;
      Returns:
      The budgetMilliNodeHours.

    • getBaseModelId

      String getBaseModelId()
       The ID of the `base` model. If it is specified, the new model will be
 trained based on the `base` model. Otherwise, the new model will be
 trained from scratch. The `base` model must be in the same
 Project and Location as the new Model to train, and have the same
 modelType.
      string base_model_id = 3;
      Returns:
      The baseModelId.

    • getBaseModelIdBytes

      com.google.protobuf.ByteString getBaseModelIdBytes()
       The ID of the `base` model. If it is specified, the new model will be
 trained based on the `base` model. Otherwise, the new model will be
 trained from scratch. The `base` model must be in the same
 Project and Location as the new Model to train, and have the same
 modelType.
      string base_model_id = 3;
      Returns:
      The bytes for baseModelId.