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

Interface AutoMlImageSegmentationInputsOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      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.
      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 Detail

      • 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.