original_string: protected function execute_prediction_callbacks(&$predictions, $indicatorcalculations) {
  
          // Here we will store all predictions' contexts, this will be used to limit which users will see those predictions.
          $samplecontexts = array();
          $records = array();
  
          foreach ($predictions as $uniquesampleid => $prediction) {
  
              // The unique sample id contains both the sampleid and the rangeindex.
              list($sampleid, $rangeindex) = $this->get_time_splitting()->infer_sample_info($uniquesampleid);
              if ($this->get_target()->triggers_callback($prediction->prediction, $prediction->predictionscore)) {
  
                  // Prepare the record to store the predicted values.
                  list($record, $samplecontext) = $this->prepare_prediction_record($sampleid, $rangeindex, $prediction->prediction,
                      $prediction->predictionscore, json_encode($indicatorcalculations[$uniquesampleid]));
  
                  // We will later bulk-insert them all.
                  $records[$uniquesampleid] = $record;
  
                  // Also store all samples context to later generate insights or whatever action the target wants to perform.
                  $samplecontexts[$samplecontext->id] = $samplecontext;
  
                  $this->get_target()->prediction_callback($this->model->id, $sampleid, $rangeindex, $samplecontext,
                      $prediction->prediction, $prediction->predictionscore);
              }
          }
  
          if (!empty($records)) {
              $this->save_predictions($records);
          }
  
          return [$samplecontexts, $records];
      }
code: protected function execute_prediction_callbacks(&$predictions, $indicatorcalculations) {
  
          // Here we will store all predictions' contexts, this will be used to limit which users will see those predictions.
          $samplecontexts = array();
          $records = array();
  
          foreach ($predictions as $uniquesampleid => $prediction) {
  
              // The unique sample id contains both the sampleid and the rangeindex.
              list($sampleid, $rangeindex) = $this->get_time_splitting()->infer_sample_info($uniquesampleid);
              if ($this->get_target()->triggers_callback($prediction->prediction, $prediction->predictionscore)) {
  
                  // Prepare the record to store the predicted values.
                  list($record, $samplecontext) = $this->prepare_prediction_record($sampleid, $rangeindex, $prediction->prediction,
                      $prediction->predictionscore, json_encode($indicatorcalculations[$uniquesampleid]));
  
                  // We will later bulk-insert them all.
                  $records[$uniquesampleid] = $record;
  
                  // Also store all samples context to later generate insights or whatever action the target wants to perform.
                  $samplecontexts[$samplecontext->id] = $samplecontext;
  
                  $this->get_target()->prediction_callback($this->model->id, $sampleid, $rangeindex, $samplecontext,
                      $prediction->prediction, $prediction->predictionscore);
              }
          }
  
          if (!empty($records)) {
              $this->save_predictions($records);
          }
  
          return [$samplecontexts, $records];
      }
code_tokens: protected function execute_prediction_callbacks ( & $ predictions , $ indicatorcalculations ) { // Here we will store all predictions' contexts, this will be used to limit which users will see those predictions. $ samplecontexts = array ( ) ; $ records = array ( ) ; foreach ( $ predictions as $ uniquesampleid => $ prediction ) { // The unique sample id contains both the sampleid and the rangeindex. list ( $ sampleid , $ rangeindex ) = $ this -> get_time_splitting ( ) -> infer_sample_info ( $ uniquesampleid ) ; if ( $ this -> get_target ( ) -> triggers_callback ( $ prediction -> prediction , $ prediction -> predictionscore ) ) { // Prepare the record to store the predicted values. list ( $ record , $ samplecontext ) = $ this -> prepare_prediction_record ( $ sampleid , $ rangeindex , $ prediction -> prediction , $ prediction -> predictionscore , json_encode ( $ indicatorcalculations [ $ uniquesampleid ] ) ) ; // We will later bulk-insert them all. $ records [ $ uniquesampleid ] = $ record ; // Also store all samples context to later generate insights or whatever action the target wants to perform. $ samplecontexts [ $ samplecontext -> id ] = $ samplecontext ; $ this -> get_target ( ) -> prediction_callback ( $ this -> model -> id , $ sampleid , $ rangeindex , $ samplecontext , $ prediction -> prediction , $ prediction -> predictionscore ) ; } } if ( ! empty ( $ records ) ) { $ this -> save_predictions ( $ records ) ; } return [ $ samplecontexts , $ records ] ; }
docstring: Execute the prediction callbacks defined by the target.
  
  @param \stdClass[] $predictions
  @param array $indicatorcalculations
  @return array
docstring_tokens: Execute the prediction callbacks defined by the target .