public function clear() {
        global $DB, $USER;

        \core_analytics\manager::check_can_manage_models();

        // Delete current model version stored stuff.
        $predictor = $this->get_predictions_processor(false);
        if ($predictor->is_ready() !== true) {
            $predictorname = \core_analytics\manager::get_predictions_processor_name($predictor);
            debugging('Prediction processor ' . $predictorname . ' is not ready to be used. Model ' .
                $this->model->id . ' could not be cleared.');
        } else {
            $predictor->clear_model($this->get_unique_id(), $this->get_output_dir());
        }

        $predictionids = $DB->get_fieldset_select('analytics_predictions', 'id', 'modelid = :modelid',
            array('modelid' => $this->get_id()));
        if ($predictionids) {
            list($sql, $params) = $DB->get_in_or_equal($predictionids);
            $DB->delete_records_select('analytics_prediction_actions', "predictionid $sql", $params);
        }

        $DB->delete_records('analytics_predictions', array('modelid' => $this->model->id));
        $DB->delete_records('analytics_predict_samples', array('modelid' => $this->model->id));
        $DB->delete_records('analytics_train_samples', array('modelid' => $this->model->id));
        $DB->delete_records('analytics_used_files', array('modelid' => $this->model->id));
        $DB->delete_records('analytics_used_analysables', array('modelid' => $this->model->id));

        // Purge all generated files.
        \core_analytics\dataset_manager::clear_model_files($this->model->id);

        // We don't expect people to clear models regularly and the cost of filling the cache is
        // 1 db read per context.
        $this->purge_insights_cache();

        if (!$this->is_static()) {
            $this->model->trained = 0;
        }

        $this->model->timemodified = time();
        $this->model->usermodified = $USER->id;
        $DB->update_record('analytics_models', $this->model);
    }
public function clear() {
        global $DB, $USER;

        \core_analytics\manager::check_can_manage_models();

        // Delete current model version stored stuff.
        $predictor = $this->get_predictions_processor(false);
        if ($predictor->is_ready() !== true) {
            $predictorname = \core_analytics\manager::get_predictions_processor_name($predictor);
            debugging('Prediction processor ' . $predictorname . ' is not ready to be used. Model ' .
                $this->model->id . ' could not be cleared.');
        } else {
            $predictor->clear_model($this->get_unique_id(), $this->get_output_dir());
        }

        $predictionids = $DB->get_fieldset_select('analytics_predictions', 'id', 'modelid = :modelid',
            array('modelid' => $this->get_id()));
        if ($predictionids) {
            list($sql, $params) = $DB->get_in_or_equal($predictionids);
            $DB->delete_records_select('analytics_prediction_actions', "predictionid $sql", $params);
        }

        $DB->delete_records('analytics_predictions', array('modelid' => $this->model->id));
        $DB->delete_records('analytics_predict_samples', array('modelid' => $this->model->id));
        $DB->delete_records('analytics_train_samples', array('modelid' => $this->model->id));
        $DB->delete_records('analytics_used_files', array('modelid' => $this->model->id));
        $DB->delete_records('analytics_used_analysables', array('modelid' => $this->model->id));

        // Purge all generated files.
        \core_analytics\dataset_manager::clear_model_files($this->model->id);

        // We don't expect people to clear models regularly and the cost of filling the cache is
        // 1 db read per context.
        $this->purge_insights_cache();

        if (!$this->is_static()) {
            $this->model->trained = 0;
        }

        $this->model->timemodified = time();
        $this->model->usermodified = $USER->id;
        $DB->update_record('analytics_models', $this->model);
    }
public function clear ( ) { global $ DB , $ USER ; \ core_analytics \ manager :: check_can_manage_models ( ) ; // Delete current model version stored stuff. $ predictor = $ this -> get_predictions_processor ( false ) ; if ( $ predictor -> is_ready ( ) !== true ) { $ predictorname = \ core_analytics \ manager :: get_predictions_processor_name ( $ predictor ) ; debugging ( 'Prediction processor ' . $ predictorname . ' is not ready to be used. Model ' . $ this -> model -> id . ' could not be cleared.' ) ; } else { $ predictor -> clear_model ( $ this -> get_unique_id ( ) , $ this -> get_output_dir ( ) ) ; } $ predictionids = $ DB -> get_fieldset_select ( 'analytics_predictions' , 'id' , 'modelid = :modelid' , array ( 'modelid' => $ this -> get_id ( ) ) ) ; if ( $ predictionids ) { list ( $ sql , $ params ) = $ DB -> get_in_or_equal ( $ predictionids ) ; $ DB -> delete_records_select ( 'analytics_prediction_actions' , "predictionid $sql" , $ params ) ; } $ DB -> delete_records ( 'analytics_predictions' , array ( 'modelid' => $ this -> model -> id ) ) ; $ DB -> delete_records ( 'analytics_predict_samples' , array ( 'modelid' => $ this -> model -> id ) ) ; $ DB -> delete_records ( 'analytics_train_samples' , array ( 'modelid' => $ this -> model -> id ) ) ; $ DB -> delete_records ( 'analytics_used_files' , array ( 'modelid' => $ this -> model -> id ) ) ; $ DB -> delete_records ( 'analytics_used_analysables' , array ( 'modelid' => $ this -> model -> id ) ) ; // Purge all generated files. \ core_analytics \ dataset_manager :: clear_model_files ( $ this -> model -> id ) ; // We don't expect people to clear models regularly and the cost of filling the cache is // 1 db read per context. $ this -> purge_insights_cache ( ) ; if ( ! $ this -> is_static ( ) ) { $ this -> model -> trained = 0 ; } $ this -> model -> timemodified = time ( ) ; $ this -> model -> usermodified = $ USER -> id ; $ DB -> update_record ( 'analytics_models' , $ this -> model ) ; }
Clears the model training and prediction data.

Executed after updating model critical elements like the time splitting method
or the indicators.

@return void
Clears the model training and prediction data .