Your IP : 192.168.165.1
<?php
// This file is part of Moodle - http://moodle.org/
//
// Moodle is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// Moodle is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Moodle. If not, see <http://www.gnu.org/licenses/>.
/**
* Multi-class classifier target.
*
* @package core_analytics
* @copyright 2019 Apetrei Vlad
* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
*/
defined('MOODLE_INTERNAL') || die();
/**
* Multi-class classifier target.
*
* @package core_analytics
* @copyright 2019 Apetrei Vlad
* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
*/
class test_target_shortname_multiclass extends \core_analytics\local\target\discrete {
/**
* Returns a lang_string object representing the name for the indicator.
*
* Used as column identificator.
*
* If there is a corresponding '_help' string this will be shown as well.
*
* @return \lang_string
*/
public static function get_name() : \lang_string {
// Using a string that exists and contains a corresponding '_help' string.
return new \lang_string('allowstealthmodules');
}
/**
* predictions
*
* @var array
*/
protected $predictions = array();
/**
* is_linear
*
* @return bool
*/
public function is_linear() {
return false;
}
/**
* Returns the target discrete values.
*
* Only useful for targets using discrete values, must be overwriten if it is the case.
*
* @return array
*/
public static final function get_classes() {
return array(0, 1, 2);
}
/**
* Is the calculated value a positive outcome of this target?
*
* @param string $value
* @param string $ignoredsubtype
* @return int
*/
public function get_calculation_outcome($value, $ignoredsubtype = false) {
if (!self::is_a_class($value)) {
throw new \moodle_exception('errorpredictionformat', 'analytics');
}
if (in_array($value, $this->ignored_predicted_classes(), false)) {
// Just in case, if it is ignored the prediction should not even be recorded but if it would, it is ignored now,
// which should mean that is it nothing serious.
return self::OUTCOME_VERY_POSITIVE;
}
// By default binaries are danger when prediction = 1.
if ($value) {
return self::OUTCOME_VERY_NEGATIVE;
}
return self::OUTCOME_VERY_POSITIVE;
}
/**
* get_analyser_class
*
* @return string
*/
public function get_analyser_class() {
return '\core\analytics\analyser\site_courses';
}
/**
* We don't want to discard results.
* @return float
*/
protected function min_prediction_score() {
return null;
}
/**
* We don't want to discard results.
* @return array
*/
public function ignored_predicted_classes() {
return array();
}
/**
* is_valid_analysable
*
* @param \core_analytics\analysable $analysable
* @param bool $fortraining
* @return bool
*/
public function is_valid_analysable(\core_analytics\analysable $analysable, $fortraining = true) {
// This is testing, let's make things easy.
return true;
}
/**
* is_valid_sample
*
* @param int $sampleid
* @param \core_analytics\analysable $analysable
* @param bool $fortraining
* @return bool
*/
public function is_valid_sample($sampleid, \core_analytics\analysable $analysable, $fortraining = true) {
// We skip not-visible courses during training as a way to emulate the training data / prediction data difference.
// In normal circumstances is_valid_sample will return false when they receive a sample that can not be
// processed.
if (!$fortraining) {
return true;
}
$sample = $this->retrieve('course', $sampleid);
if ($sample->visible == 0) {
return false;
}
return true;
}
/**
* classes_description
*
* @return string[]
*/
protected static function classes_description() {
return array(
get_string('first class'),
get_string('second class'),
get_string('third class')
);
}
/**
* calculate_sample
*
* @param int $sampleid
* @param \core_analytics\analysable $analysable
* @param int $starttime
* @param int $endtime
* @return float
*/
protected function calculate_sample($sampleid, \core_analytics\analysable $analysable, $starttime = false, $endtime = false) {
$sample = $this->retrieve('course', $sampleid);
$firstchar = substr($sample->shortname, 0, 1);
switch ($firstchar) {
case 'a':
return 0;
case 'b':
return 1;
case 'c':
return 2;
}
}
/**
* Can the provided time-splitting method be used on this target?.
*
* Time-splitting methods not matching the target requirements will not be selectable by models based on this target.
*
* @param \core_analytics\local\time_splitting\base $timesplitting
* @return bool
*/
public function can_use_timesplitting(\core_analytics\local\time_splitting\base $timesplitting):bool {
return true;
}
}