private function format_predictor_predictions($predictorresult) {

        $predictions = array();
        if (!empty($predictorresult->predictions)) {
            foreach ($predictorresult->predictions as $sampleinfo) {

                // We parse each prediction.
                switch (count($sampleinfo)) {
                    case 1:
                        // For whatever reason the predictions processor could not process this sample, we
                        // skip it and do nothing with it.
                        debugging($this->model->id . ' model predictions processor could not process the sample with id ' .
                            $sampleinfo[0], DEBUG_DEVELOPER);
                        continue 2;
                    case 2:
                        // Prediction processors that do not return a prediction score will have the maximum prediction
                        // score.
                        list($uniquesampleid, $prediction) = $sampleinfo;
                        $predictionscore = 1;
                        break;
                    case 3:
                        list($uniquesampleid, $prediction, $predictionscore) = $sampleinfo;
                        break;
                    default:
                        break;
                }
                $predictiondata = (object)['prediction' => $prediction, 'predictionscore' => $predictionscore];
                $predictions[$uniquesampleid] = $predictiondata;
            }
        }
        return $predictions;
    }
private function format_predictor_predictions($predictorresult) {

        $predictions = array();
        if (!empty($predictorresult->predictions)) {
            foreach ($predictorresult->predictions as $sampleinfo) {

                // We parse each prediction.
                switch (count($sampleinfo)) {
                    case 1:
                        // For whatever reason the predictions processor could not process this sample, we
                        // skip it and do nothing with it.
                        debugging($this->model->id . ' model predictions processor could not process the sample with id ' .
                            $sampleinfo[0], DEBUG_DEVELOPER);
                        continue 2;
                    case 2:
                        // Prediction processors that do not return a prediction score will have the maximum prediction
                        // score.
                        list($uniquesampleid, $prediction) = $sampleinfo;
                        $predictionscore = 1;
                        break;
                    case 3:
                        list($uniquesampleid, $prediction, $predictionscore) = $sampleinfo;
                        break;
                    default:
                        break;
                }
                $predictiondata = (object)['prediction' => $prediction, 'predictionscore' => $predictionscore];
                $predictions[$uniquesampleid] = $predictiondata;
            }
        }
        return $predictions;
    }
private function format_predictor_predictions ( $ predictorresult ) { $ predictions = array ( ) ; if ( ! empty ( $ predictorresult -> predictions ) ) { foreach ( $ predictorresult -> predictions as $ sampleinfo ) { // We parse each prediction. switch ( count ( $ sampleinfo ) ) { case 1 : // For whatever reason the predictions processor could not process this sample, we // skip it and do nothing with it. debugging ( $ this -> model -> id . ' model predictions processor could not process the sample with id ' . $ sampleinfo [ 0 ] , DEBUG_DEVELOPER ) ; continue 2 ; case 2 : // Prediction processors that do not return a prediction score will have the maximum prediction // score. list ( $ uniquesampleid , $ prediction ) = $ sampleinfo ; $ predictionscore = 1 ; break ; case 3 : list ( $ uniquesampleid , $ prediction , $ predictionscore ) = $ sampleinfo ; break ; default : break ; } $ predictiondata = ( object ) [ 'prediction' => $ prediction , 'predictionscore' => $ predictionscore ] ; $ predictions [ $ uniquesampleid ] = $ predictiondata ; } } return $ predictions ; }
Formats the predictor results.

@param array $predictorresult
@return array
Formats the predictor results .