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// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/schema.proto

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

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

  /**
   * optional .tensorflow.metadata.v0.SequenceMetadata.SequentialStatus sequential_status = 3;
   * @return Whether the sequentialStatus field is set.
   */
  boolean hasSequentialStatus();
  /**
   * optional .tensorflow.metadata.v0.SequenceMetadata.SequentialStatus sequential_status = 3;
   * @return The sequentialStatus.
   */
  org.tensorflow.metadata.v0.SequenceMetadata.SequentialStatus getSequentialStatus();

  /**
   * 
   * An arbitrary string defining a "group" of features that could be modeled as
   * a single joint sequence. For example, consider a dataset that contains
   * three sequential features "purchase_time", "product_id", "purchase_price".
   * These belong to the same sequence of purchases and could be modeled
   * jointly. Specifying joint_group = "purchase" on all three sequences would
   * communicate that the features can be considered part of a single conceptual
   * sequence.
   * 
* * optional string joint_group = 4; * @return Whether the jointGroup field is set. */ boolean hasJointGroup(); /** *
   * An arbitrary string defining a "group" of features that could be modeled as
   * a single joint sequence. For example, consider a dataset that contains
   * three sequential features "purchase_time", "product_id", "purchase_price".
   * These belong to the same sequence of purchases and could be modeled
   * jointly. Specifying joint_group = "purchase" on all three sequences would
   * communicate that the features can be considered part of a single conceptual
   * sequence.
   * 
* * optional string joint_group = 4; * @return The jointGroup. */ java.lang.String getJointGroup(); /** *
   * An arbitrary string defining a "group" of features that could be modeled as
   * a single joint sequence. For example, consider a dataset that contains
   * three sequential features "purchase_time", "product_id", "purchase_price".
   * These belong to the same sequence of purchases and could be modeled
   * jointly. Specifying joint_group = "purchase" on all three sequences would
   * communicate that the features can be considered part of a single conceptual
   * sequence.
   * 
* * optional string joint_group = 4; * @return The bytes for jointGroup. */ com.google.protobuf.ByteString getJointGroupBytes(); /** *
   * Specifies the maximum sequence length that should be processed. Sequences
   * may exceed this limit but are expected to be truncated by modeling layers.
   * 
* * optional int64 sequence_truncation_limit = 5; * @return Whether the sequenceTruncationLimit field is set. */ boolean hasSequenceTruncationLimit(); /** *
   * Specifies the maximum sequence length that should be processed. Sequences
   * may exceed this limit but are expected to be truncated by modeling layers.
   * 
* * optional int64 sequence_truncation_limit = 5; * @return The sequenceTruncationLimit. */ long getSequenceTruncationLimit(); }




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