org.tensorflow.metadata.v0.MetaOptimizationTargetOrBuilder Maven / Gradle / Ivy

Go to download
Show more of this group Show more artifacts with this name
Show all versions of scio-tensorflow_2.12 Show documentation
Scio add-on for TensorFlow
The newest version!
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/problem_statement.proto

// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;

public interface MetaOptimizationTargetOrBuilder extends
    // @@protoc_insertion_point(interface_extends:tensorflow.metadata.v0.MetaOptimizationTarget)
    com.google.protobuf.MessageOrBuilder {

  /**
   *    * The name of a task in this problem statement producing the
   * prediction or classification for the metric.
   * 
   *
   * string task_name = 1;
   * @return The taskName.
   */
  java.lang.String getTaskName();
  /**
   *    * The name of a task in this problem statement producing the
   * prediction or classification for the metric.
   * 
   *
   * string task_name = 1;
   * @return The bytes for taskName.
   */
  com.google.protobuf.ByteString
      getTaskNameBytes();

  /**
   *    * The performance metric to be evaluated.
   * The prediction or classification is based upon the task.
   * The label is from the type of the task, or from the override_task.
   * 
   *
   * .tensorflow.metadata.v0.PerformanceMetric performance_metric = 3;
   * @return Whether the performanceMetric field is set.
   */
  boolean hasPerformanceMetric();
  /**
   *    * The performance metric to be evaluated.
   * The prediction or classification is based upon the task.
   * The label is from the type of the task, or from the override_task.
   * 
   *
   * .tensorflow.metadata.v0.PerformanceMetric performance_metric = 3;
   * @return The performanceMetric.
   */
  org.tensorflow.metadata.v0.PerformanceMetric getPerformanceMetric();
  /**
   *    * The performance metric to be evaluated.
   * The prediction or classification is based upon the task.
   * The label is from the type of the task, or from the override_task.
   * 
   *
   * .tensorflow.metadata.v0.PerformanceMetric performance_metric = 3;
   */
  org.tensorflow.metadata.v0.PerformanceMetricOrBuilder getPerformanceMetricOrBuilder();

  /**
   *    * If a model spec has multiple meta optimization targets, the weight
   * of each can be specified. The final objective is then a weighted
   * combination of the multiple objectives. If not specified, value is 1.
   * 
   *
   * double weight = 4 [deprecated = true];
   * @deprecated tensorflow.metadata.v0.MetaOptimizationTarget.weight is deprecated.
   *     See tensorflow_metadata/proto/v0/problem_statement.proto;l=328
   * @return Whether the weight field is set.
   */
  @java.lang.Deprecated boolean hasWeight();
  /**
   *    * If a model spec has multiple meta optimization targets, the weight
   * of each can be specified. The final objective is then a weighted
   * combination of the multiple objectives. If not specified, value is 1.
   * 
   *
   * double weight = 4 [deprecated = true];
   * @deprecated tensorflow.metadata.v0.MetaOptimizationTarget.weight is deprecated.
   *     See tensorflow_metadata/proto/v0/problem_statement.proto;l=328
   * @return The weight.
   */
  @java.lang.Deprecated double getWeight();

  /**
   *    * Secondary meta optimization targets can be thresholded, meaning that the
   * optimization process prefers solutions above (or below) the threshold,
   * but need not prefer solutions higher (or lower) on the metric if the
   * threshold is met.
   * 
   *
   * .tensorflow.metadata.v0.MetaOptimizationTarget.ThresholdConfig threshold_config = 5;
   * @return Whether the thresholdConfig field is set.
   */
  boolean hasThresholdConfig();
  /**
   *    * Secondary meta optimization targets can be thresholded, meaning that the
   * optimization process prefers solutions above (or below) the threshold,
   * but need not prefer solutions higher (or lower) on the metric if the
   * threshold is met.
   * 
   *
   * .tensorflow.metadata.v0.MetaOptimizationTarget.ThresholdConfig threshold_config = 5;
   * @return The thresholdConfig.
   */
  org.tensorflow.metadata.v0.MetaOptimizationTarget.ThresholdConfig getThresholdConfig();
  /**
   *    * Secondary meta optimization targets can be thresholded, meaning that the
   * optimization process prefers solutions above (or below) the threshold,
   * but need not prefer solutions higher (or lower) on the metric if the
   * threshold is met.
   * 
   *
   * .tensorflow.metadata.v0.MetaOptimizationTarget.ThresholdConfig threshold_config = 5;
   */
  org.tensorflow.metadata.v0.MetaOptimizationTarget.ThresholdConfigOrBuilder getThresholdConfigOrBuilder();

  org.tensorflow.metadata.v0.MetaOptimizationTarget.ObjectiveCombinationCase getObjectiveCombinationCase();
}