Package com.google.cloud.aiplatform.v1beta1

Interface StudySpec.ConvexStopConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
StudySpec.ConvexStopConfig, StudySpec.ConvexStopConfig.Builder
Enclosing class:
StudySpec
@Deprecated public static interface StudySpec.ConvexStopConfigOrBuilder extends com.google.protobuf.MessageOrBuilder
Deprecated.

  • Method Summary

    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 Details

    • 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.