(value); return *this;}      /**      * <p>Specifies the configuration for starting the hyperparameter tuning job using      * one or more previous tuning jobs as a starting point. The results of previous      * tuning jobs are used to inform which combinations of hyperparameters to search      * over in the new tuning job.</p> <p>All training jobs launched by the new      * hyperparameter tuning job are evaluated by using the objective metric. If you      * specify <code>IDENTICAL_DATA_AND_ALGORITHM</code> as the      * <code>WarmStartType</code> value for the warm start configuration, the training      * job that performs the best in the new tuning job is compared to the best      * training jobs from the parent tuning jobs. From these, the training job that      * performs the best as measured by the objective metric is returned as the overall      * best training job.</p>  <p>All training jobs launched by parent      * hyperparameter tuning jobs and the new hyperparameter tuning jobs count against      * the limit of training jobs for the tuning job.</p>       */     inline CreateHyperParameterTuningJobRequest& WithWarmStartConfig(HyperParameterTuningJobWarmStartConfig&& value) { 