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// 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 OneDimensionalRegressionOrBuilder extends
    // @@protoc_insertion_point(interface_extends:tensorflow.metadata.v0.OneDimensionalRegression)
    com.google.protobuf.MessageOrBuilder {

  /**
   *    * The name of the label. Assumes the label is a flat, top-level field.
   * 
   *
   * string label = 1;
   * @return Whether the label field is set.
   */
  boolean hasLabel();
  /**
   *    * The name of the label. Assumes the label is a flat, top-level field.
   * 
   *
   * string label = 1;
   * @return The label.
   */
  java.lang.String getLabel();
  /**
   *    * The name of the label. Assumes the label is a flat, top-level field.
   * 
   *
   * string label = 1;
   * @return The bytes for label.
   */
  com.google.protobuf.ByteString
      getLabelBytes();

  /**
   *    * A path can be used instead of a flat string if the label is nested.
   * 
   *
   * .tensorflow.metadata.v0.Path label_path = 3;
   * @return Whether the labelPath field is set.
   */
  boolean hasLabelPath();
  /**
   *    * A path can be used instead of a flat string if the label is nested.
   * 
   *
   * .tensorflow.metadata.v0.Path label_path = 3;
   * @return The labelPath.
   */
  org.tensorflow.metadata.v0.Path getLabelPath();
  /**
   *    * A path can be used instead of a flat string if the label is nested.
   * 
   *
   * .tensorflow.metadata.v0.Path label_path = 3;
   */
  org.tensorflow.metadata.v0.PathOrBuilder getLabelPathOrBuilder();

  /**
   *    * (optional) The weight column.
   * 
   *
   * string weight = 2;
   * @return The weight.
   */
  java.lang.String getWeight();
  /**
   *    * (optional) The weight column.
   * 
   *
   * string weight = 2;
   * @return The bytes for weight.
   */
  com.google.protobuf.ByteString
      getWeightBytes();

  /**
   *    * When set means the label is a probability in range [0..1].
   * 
   *
   * .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
   * @return Whether the probability field is set.
   */
  boolean hasProbability();
  /**
   *    * When set means the label is a probability in range [0..1].
   * 
   *
   * .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
   * @return The probability.
   */
  org.tensorflow.metadata.v0.OneDimensionalRegression.Probability getProbability();
  /**
   *    * When set means the label is a probability in range [0..1].
   * 
   *
   * .tensorflow.metadata.v0.OneDimensionalRegression.Probability probability = 4;
   */
  org.tensorflow.metadata.v0.OneDimensionalRegression.ProbabilityOrBuilder getProbabilityOrBuilder();

  /**
   *    * When set the label corresponds to counts from a poisson distribution.
   * Eg: Number of googlers contributing to memegen each year.
   * 
   *
   * .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
   * @return Whether the counts field is set.
   */
  boolean hasCounts();
  /**
   *    * When set the label corresponds to counts from a poisson distribution.
   * Eg: Number of googlers contributing to memegen each year.
   * 
   *
   * .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
   * @return The counts.
   */
  org.tensorflow.metadata.v0.OneDimensionalRegression.Counts getCounts();
  /**
   *    * When set the label corresponds to counts from a poisson distribution.
   * Eg: Number of googlers contributing to memegen each year.
   * 
   *
   * .tensorflow.metadata.v0.OneDimensionalRegression.Counts counts = 5;
   */
  org.tensorflow.metadata.v0.OneDimensionalRegression.CountsOrBuilder getCountsOrBuilder();

  org.tensorflow.metadata.v0.OneDimensionalRegression.LabelIdCase getLabelIdCase();

  org.tensorflow.metadata.v0.OneDimensionalRegression.LabelTypeCase getLabelTypeCase();
}