Package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

Interface AutoMlImageObjectDetectionInputsOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      long getBudgetMilliNodeHours()
      The training budget of creating this model, expressed in milli node hours i.e.
      boolean getDisableEarlyStopping()
      Use the entire training budget.
      AutoMlImageObjectDetectionInputs.ModelType getModelType()
      .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
      int getModelTypeValue()
      .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.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.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;
        Returns:
        The enum numeric value on the wire for modelType.

      • getModelType

        AutoMlImageObjectDetectionInputs.ModelType getModelType()
        .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.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.
 For modelType `cloud`(default), the budget must be between 20,000
 and 900,000 milli node hours, inclusive. The default value is 216,000
 which represents one day in wall time, considering 9 nodes are used.
 For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`,
 `mobile-tf-high-accuracy-1`
 the training budget must be between 1,000 and 100,000 milli node hours,
 inclusive. The default value is 24,000 which represents one day in
 wall time on a single node that is used.
        int64 budget_milli_node_hours = 2;
        Returns:
        The budgetMilliNodeHours.

      • getDisableEarlyStopping

        boolean getDisableEarlyStopping()
         Use the entire training budget. This disables the early stopping feature.
 When false the early stopping feature is enabled, which means that AutoML
 Image Object Detection might stop training before the entire training
 budget has been used.
        bool disable_early_stopping = 3;
        Returns:
        The disableEarlyStopping.