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// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: proto/clarifai/api/service.proto

package com.clarifai.grpc.api;

public interface PostModelVersionsRequestOrBuilder extends
    // @@protoc_insertion_point(interface_extends:clarifai.api.PostModelVersionsRequest)
    com.google.protobuf.MessageOrBuilder {

  /**
   * .clarifai.api.UserAppIDSet user_app_id = 1;
   * @return Whether the userAppId field is set.
   */
  boolean hasUserAppId();
  /**
   * .clarifai.api.UserAppIDSet user_app_id = 1;
   * @return The userAppId.
   */
  com.clarifai.grpc.api.UserAppIDSet getUserAppId();
  /**
   * .clarifai.api.UserAppIDSet user_app_id = 1;
   */
  com.clarifai.grpc.api.UserAppIDSetOrBuilder getUserAppIdOrBuilder();

  /**
   * string model_id = 2;
   * @return The modelId.
   */
  java.lang.String getModelId();
  /**
   * string model_id = 2;
   * @return The bytes for modelId.
   */
  com.google.protobuf.ByteString
      getModelIdBytes();

  /**
   * repeated .clarifai.api.ModelVersion model_versions = 3;
   */
  java.util.List 
      getModelVersionsList();
  /**
   * repeated .clarifai.api.ModelVersion model_versions = 3;
   */
  com.clarifai.grpc.api.ModelVersion getModelVersions(int index);
  /**
   * repeated .clarifai.api.ModelVersion model_versions = 3;
   */
  int getModelVersionsCount();
  /**
   * repeated .clarifai.api.ModelVersion model_versions = 3;
   */
  java.util.List 
      getModelVersionsOrBuilderList();
  /**
   * repeated .clarifai.api.ModelVersion model_versions = 3;
   */
  com.clarifai.grpc.api.ModelVersionOrBuilder getModelVersionsOrBuilder(
      int index);

  /**
   * 
   * Description about this training run
   * 
* * string description = 8; * @return The description. */ java.lang.String getDescription(); /** *
   * Description about this training run
   * 
* * string description = 8; * @return The bytes for description. */ com.google.protobuf.ByteString getDescriptionBytes(); /** *
   * When evaluate_after_training set to true, we will do evaluation immediately after training finishes.
   * We will merge this with default_eval_info.
   * 
* * .clarifai.api.EvalInfo eval_info = 10; * @return Whether the evalInfo field is set. */ boolean hasEvalInfo(); /** *
   * When evaluate_after_training set to true, we will do evaluation immediately after training finishes.
   * We will merge this with default_eval_info.
   * 
* * .clarifai.api.EvalInfo eval_info = 10; * @return The evalInfo. */ com.clarifai.grpc.api.EvalInfo getEvalInfo(); /** *
   * When evaluate_after_training set to true, we will do evaluation immediately after training finishes.
   * We will merge this with default_eval_info.
   * 
* * .clarifai.api.EvalInfo eval_info = 10; */ com.clarifai.grpc.api.EvalInfoOrBuilder getEvalInfoOrBuilder(); }




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