| 1 |
efrain |
1 |
<?php
|
|
|
2 |
// This file is part of Moodle - http://moodle.org/
|
|
|
3 |
//
|
|
|
4 |
// Moodle is free software: you can redistribute it and/or modify
|
|
|
5 |
// it under the terms of the GNU General Public License as published by
|
|
|
6 |
// the Free Software Foundation, either version 3 of the License, or
|
|
|
7 |
// (at your option) any later version.
|
|
|
8 |
//
|
|
|
9 |
// Moodle is distributed in the hope that it will be useful,
|
|
|
10 |
// but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
|
11 |
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
|
12 |
// GNU General Public License for more details.
|
|
|
13 |
//
|
|
|
14 |
// You should have received a copy of the GNU General Public License
|
|
|
15 |
// along with Moodle. If not, see <http://www.gnu.org/licenses/>.
|
|
|
16 |
|
|
|
17 |
/**
|
|
|
18 |
* Regressors interface.
|
|
|
19 |
*
|
|
|
20 |
* @package core_analytics
|
|
|
21 |
* @copyright 2017 David Monllao {@link http://www.davidmonllao.com}
|
|
|
22 |
* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
|
|
|
23 |
*/
|
|
|
24 |
|
|
|
25 |
namespace core_analytics;
|
|
|
26 |
|
|
|
27 |
defined('MOODLE_INTERNAL') || die();
|
|
|
28 |
|
|
|
29 |
/**
|
|
|
30 |
* Regressors interface.
|
|
|
31 |
*
|
|
|
32 |
* @package core_analytics
|
|
|
33 |
* @copyright 2016 David Monllao {@link http://www.davidmonllao.com}
|
|
|
34 |
* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
|
|
|
35 |
*/
|
|
|
36 |
interface regressor extends predictor {
|
|
|
37 |
|
|
|
38 |
/**
|
|
|
39 |
* Train this processor regression model using the provided supervised learning dataset.
|
|
|
40 |
*
|
|
|
41 |
* @param string $uniqueid
|
|
|
42 |
* @param \stored_file $dataset
|
|
|
43 |
* @param string $outputdir
|
|
|
44 |
* @return \stdClass
|
|
|
45 |
*/
|
|
|
46 |
public function train_regression($uniqueid, \stored_file $dataset, $outputdir);
|
|
|
47 |
|
|
|
48 |
/**
|
|
|
49 |
* Estimates linear values for the provided dataset samples.
|
|
|
50 |
*
|
|
|
51 |
* @param string $uniqueid
|
|
|
52 |
* @param \stored_file $dataset
|
|
|
53 |
* @param mixed $outputdir
|
|
|
54 |
* @return void
|
|
|
55 |
*/
|
|
|
56 |
public function estimate($uniqueid, \stored_file $dataset, $outputdir);
|
|
|
57 |
|
|
|
58 |
/**
|
|
|
59 |
* Evaluates this processor regression model using the provided supervised learning dataset.
|
|
|
60 |
*
|
|
|
61 |
* @param string $uniqueid
|
|
|
62 |
* @param float $maxdeviation
|
|
|
63 |
* @param int $niterations
|
|
|
64 |
* @param \stored_file $dataset
|
|
|
65 |
* @param string $outputdir
|
|
|
66 |
* @param string $trainedmodeldir
|
|
|
67 |
* @return \stdClass
|
|
|
68 |
*/
|
|
|
69 |
public function evaluate_regression($uniqueid, $maxdeviation, $niterations, \stored_file $dataset,
|
|
|
70 |
$outputdir, $trainedmodeldir);
|
|
|
71 |
}
|