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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 MultiLabelClassificationOrBuilder extends
    // @@protoc_insertion_point(interface_extends:tensorflow.metadata.v0.MultiLabelClassification)
    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 = 5;
   * @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 = 5;
   * @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 = 5;
   */
  org.tensorflow.metadata.v0.PathOrBuilder getLabelPathOrBuilder();

  /**
   *    * The weight column.
   * 
   *
   * string example_weight = 2;
   * @return The exampleWeight.
   */
  java.lang.String getExampleWeight();
  /**
   *    * The weight column.
   * 
   *
   * string example_weight = 2;
   * @return The bytes for exampleWeight.
   */
  com.google.protobuf.ByteString
      getExampleWeightBytes();

  /**
   *    * The exact number of unique class labels.
   * 
   *
   * uint64 n_classes = 3;
   * @return Whether the nClasses field is set.
   */
  boolean hasNClasses();
  /**
   *    * The exact number of unique class labels.
   * 
   *
   * uint64 n_classes = 3;
   * @return The nClasses.
   */
  long getNClasses();

  /**
   *    * The maximal number of label classes that should be inferred dynamically
   * from the data.
   * 
   *
   * .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
   * @return Whether the dynamicClassSpec field is set.
   */
  boolean hasDynamicClassSpec();
  /**
   *    * The maximal number of label classes that should be inferred dynamically
   * from the data.
   * 
   *
   * .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
   * @return The dynamicClassSpec.
   */
  org.tensorflow.metadata.v0.DynamicClassSpec getDynamicClassSpec();
  /**
   *    * The maximal number of label classes that should be inferred dynamically
   * from the data.
   * 
   *
   * .tensorflow.metadata.v0.DynamicClassSpec dynamic_class_spec = 4;
   */
  org.tensorflow.metadata.v0.DynamicClassSpecOrBuilder getDynamicClassSpecOrBuilder();

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

  org.tensorflow.metadata.v0.MultiLabelClassification.ClassSpecCase getClassSpecCase();
}