Package com.google.cloud.aiplatform.v1beta1

Interface StudySpec.ConvexStopConfigOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods Deprecated Methods 
      Modifier and Type Method Description
      long getAutoregressiveOrder()
      Deprecated.
      The number of Trial measurements used in autoregressive model for value prediction.
      String getLearningRateParameterName()
      Deprecated.
      The hyper-parameter name used in the tuning job that stands for learning rate.
      com.google.protobuf.ByteString getLearningRateParameterNameBytes()
      Deprecated.
      The hyper-parameter name used in the tuning job that stands for learning rate.
      long getMaxNumSteps()
      Deprecated.
      Steps used in predicting the final objective for early stopped trials.
      long getMinNumSteps()
      Deprecated.
      Minimum number of steps for a trial to complete.
      boolean getUseSeconds()
      Deprecated.
      This bool determines whether or not the rule is applied based on elapsed_secs or steps.

      • 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

      • getMaxNumSteps

        long getMaxNumSteps()
        Deprecated.
         Steps used in predicting the final objective for early stopped trials. In
 general, it's set to be the same as the defined steps in training /
 tuning. When use_steps is false, this field is set to the maximum elapsed
 seconds.
        int64 max_num_steps = 1;
        Returns:
        The maxNumSteps.

      • getMinNumSteps

        long getMinNumSteps()
        Deprecated.
         Minimum number of steps for a trial to complete. Trials which do not have
 a measurement with num_steps > min_num_steps won't be considered for
 early stopping. It's ok to set it to 0, and a trial can be early stopped
 at any stage. By default, min_num_steps is set to be one-tenth of the
 max_num_steps.
 When use_steps is false, this field is set to the minimum elapsed
 seconds.
        int64 min_num_steps = 2;
        Returns:
        The minNumSteps.

      • getAutoregressiveOrder

        long getAutoregressiveOrder()
        Deprecated.
         The number of Trial measurements used in autoregressive model for
 value prediction. A trial won't be considered early stopping if has fewer
 measurement points.
        int64 autoregressive_order = 3;
        Returns:
        The autoregressiveOrder.

      • getLearningRateParameterName

        String getLearningRateParameterName()
        Deprecated.
         The hyper-parameter name used in the tuning job that stands for learning
 rate. Leave it blank if learning rate is not in a parameter in tuning.
 The learning_rate is used to estimate the objective value of the ongoing
 trial.
        string learning_rate_parameter_name = 4;
        Returns:
        The learningRateParameterName.

      • getLearningRateParameterNameBytes

        com.google.protobuf.ByteString getLearningRateParameterNameBytes()
        Deprecated.
         The hyper-parameter name used in the tuning job that stands for learning
 rate. Leave it blank if learning rate is not in a parameter in tuning.
 The learning_rate is used to estimate the objective value of the ongoing
 trial.
        string learning_rate_parameter_name = 4;
        Returns:
        The bytes for learningRateParameterName.

      • getUseSeconds

        boolean getUseSeconds()
        Deprecated.
         This bool determines whether or not the rule is applied based on
 elapsed_secs or steps. If use_seconds==false, the early stopping decision
 is made according to the predicted objective values according to the
 target steps. If use_seconds==true, elapsed_secs is used instead of
 steps. Also, in this case, the parameters max_num_steps and min_num_steps
 are overloaded to contain max_elapsed_seconds and min_elapsed_seconds.
        bool use_seconds = 5;
        Returns:
        The useSeconds.