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176 lines
6.1 KiB
176 lines
6.1 KiB
<?php
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// This file is part of Moodle - http://moodle.org/
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//
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// Moodle is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// Moodle is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with Moodle. If not, see <http://www.gnu.org/licenses/>.
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/**
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* Discrete values target.
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*
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* @package core_analytics
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* @copyright 2017 David Monllao {@link http://www.davidmonllao.com}
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* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
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*/
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namespace core_analytics\local\target;
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defined('MOODLE_INTERNAL') || die();
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/**
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* Discrete values target.
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*
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* @package core_analytics
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* @copyright 2017 David Monllao {@link http://www.davidmonllao.com}
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* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
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*/
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abstract class discrete extends base {
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/**
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* Are this target calculations linear values?
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*
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* @return bool
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*/
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public function is_linear() {
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// Not supported yet.
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throw new \coding_exception('Sorry, this version\'s prediction processors only support targets with binary values.' .
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' You can write your own and overwrite this method though.');
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}
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/**
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* Is the provided class one of this target valid classes?
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*
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* @param mixed $class
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* @return bool
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*/
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protected static function is_a_class($class) {
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return (in_array($class, static::get_classes(), false));
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}
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/**
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* get_display_value
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*
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* @param float $value
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* @param string $ignoredsubtype
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* @return string
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*/
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public function get_display_value($value, $ignoredsubtype = false) {
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if (!self::is_a_class($value)) {
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throw new \moodle_exception('errorpredictionformat', 'analytics');
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}
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// To discard any possible weird keys devs used.
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$classes = array_values(static::get_classes());
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$descriptions = array_values(static::classes_description());
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if (count($classes) !== count($descriptions)) {
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throw new \coding_exception('You need to describe all your classes (' . json_encode($classes) .
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') in self::classes_description');
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}
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$key = array_search($value, $classes);
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if ($key === false) {
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throw new \coding_exception('You need to describe all your classes (' . json_encode($classes) .
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') in self::classes_description');
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}
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return $descriptions[$key];
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}
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/**
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* get_calculation_outcome
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*
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* @param float $value
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* @param string $ignoredsubtype
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* @return int
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*/
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public function get_calculation_outcome($value, $ignoredsubtype = false) {
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if (!self::is_a_class($value)) {
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throw new \moodle_exception('errorpredictionformat', 'analytics');
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}
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if (in_array($value, $this->ignored_predicted_classes(), false)) {
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// Just in case, if it is ignored the prediction should not even be recorded.
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return self::OUTCOME_OK;
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}
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debugging('Please overwrite \core_analytics\local\target\discrete::get_calculation_outcome, all your target ' .
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'classes are styled the same way otherwise', DEBUG_DEVELOPER);
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return self::OUTCOME_OK;
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}
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/**
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* Returns all the possible values the target calculation can return.
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*
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* Only useful for targets using discrete values, must be overwriten if it is the case.
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*
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* @return array
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*/
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public static function get_classes() {
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// Coding exception as this will only be called if this target have non-linear values.
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throw new \coding_exception('Overwrite get_classes() and return an array with the different values the ' .
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'target calculation can return');
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}
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/**
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* Returns descriptions for each of the values the target calculation can return.
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*
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* The array indexes should match self::get_classes indexes.
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*
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* @return array
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*/
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protected static function classes_description() {
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throw new \coding_exception('Overwrite classes_description() and return an array with a description for each of the ' .
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'different values the target calculation can return. Indexes should match self::get_classes indexes');
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}
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/**
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* Returns the predicted classes that will be ignored.
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*
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* Better be keen to add more than less classes here, the callback is always able to discard some classes. As an example
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* a target with classes 'grade 0-3', 'grade 3-6', 'grade 6-8' and 'grade 8-10' is interested in flagging both 'grade 6-8'
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* and 'grade 8-10' as ignored. On the other hand, a target like dropout risk with classes 'yes', 'no' may just be
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* interested in 'yes'.
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*
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* @return array List of values that will be ignored (array keys are ignored).
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*/
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public function ignored_predicted_classes() {
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// Coding exception as this will only be called if this target have non-linear values.
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throw new \coding_exception('Overwrite ignored_predicted_classes() and return an array with the classes that should not ' .
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'trigger the callback');
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}
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/**
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* This method determines if a prediction is interesing for the model or not.
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*
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* This method internally calls ignored_predicted_classes to skip classes
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* flagged by the target as not important for users.
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*
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* @param mixed $predictedvalue
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* @param float $predictionscore
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* @return bool
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*/
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public function triggers_callback($predictedvalue, $predictionscore) {
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if (!parent::triggers_callback($predictedvalue, $predictionscore)) {
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return false;
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}
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if (in_array($predictedvalue, $this->ignored_predicted_classes())) {
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return false;
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}
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return true;
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}
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}
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